Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2023 Nov 1.
Published in final edited form as: Trends Cell Biol. 2022 Jun 4;32(11):932–946. doi: 10.1016/j.tcb.2022.05.001

Optical Tweezers Across Scales in Cell Biology

Itia A Favre-Bulle 1,2,*, Ethan K Scott 1,3,*
PMCID: PMC9588623  NIHMSID: NIHMS1813848  PMID: 35672197

Abstract

Optical tweezers provide a noninvasive approach for delivering minute physical forces to targeted objects. Controlling such forces in living cells or in vitro preparations allows for the measurement and manipulation of numerous processes relevant to the form and function of cells. As such, optical tweezers have made important contributions to our understanding of the structures of proteins and nucleic acids, the interactions that occur between microscopic structures within cells, the choreography of complex processes such as mitosis, and the ways in which cells interact with each other. In this review, we highlight recent contributions made to the field of cell biology using optical tweezers, and provide basic descriptions of the physics, the methods, and the equipment that made these studies possible.

Keywords: optical trapping, microscopy, motor proteins, cytoskeleton, mitosis, metastasis

The use of light for physical measurements and manipulations.

Photons, the essential particles of light, have no mass, but they nonetheless carry energy in the form of momentum. As they move through space and interact with the world, they can transfer this energy and therefore physically affect their environment (Figure 1A). Half a century ago, Arthur Ashkin and colleagues first used this characteristic to apply forces to and manipulate transparent objects on the micrometer scale. Originally interpreted as the harvesting of radiation pressure[1], this technology is now called optical tweezers (OT, see Glossary) or optical trapping[2, 3]. Since Ashkin’s original discoveries, OT has become an invaluable tool for creating or measuring small forces (in the range of pico-Newtons) within cells or in vitro preparations. In this review, we aim to deliver an introduction, accessible to cell biologists, to the physical principles underpinning OT and the ways in which this approach has shed light on diverse topics about cell structure and function. Other recent reviews have provided excellent perspectives on the physical application of OT [4, 5], the specific contributions of OT to molecular-scale studies [6, 7] and single cell biophysics [8, 9].

Figure 1: Photons at work.

Figure 1:

(A) Schematic of a photon (white comet) being scattered as it travels through a transparent particle (blue sphere). As the photon enters and exits the particle, its direction and momentum change. The difference between its original momentum and its altered momentum is reciprocally transferred to the particle, resulting in a force F (orange arrow). (B) Schematic of a focused laser beam, comprising numerous photons, applied to a transparent particle at equilibrium in the center of the trap and (C) a transparent particle displaced from the center of the trap and undergoing a force drawing the particle towards the trap’s center. (D) Schematic of a folded protein attached to a trappable particle. The particle is centered in the trap in (i), so there is no net force placed on it by the beam. With increasing OT forces (ii-iii), the protein is gradually unfolded. (E) Schematic of two optical traps holding (i) and stretching (ii) a red blood cell. The careful measurement of OT forces (See Box 1) yields information about the protein’s secondary and tertiary structures (D) and the cell’s viscoelasticity (E).

OT can generate minute forces (on the pico-Newton to nano-Newton scale) by focusing light, in the form of a laser beam, tightly to a single spot, where an optical trap can occur (Figure 1B and C)[6]. The tight focus is generally achieved using a microscope objective with high numerical aperture (NA≥1.2), and the tightness of the focus, as well as the shape and material of the target object[10], are important for determining the OT forces that will result. For non-transparent objects, photons are absorbed, heating the object but also pushing it away from the optical trap[11, 12]. Objects with a high degree of transparency are therefore most suitable for OT. In terms of a target’s shape[13], curved surfaces induce strong beam deflection and therefore a large momentum transfer (Figure 1A), while more planar structures refract light less efficiently. It is therefore difficult to apply strong OT forces to structures such as membranes. Another important parameter is the target object’s refractive index relative to its surroundings[14]. Objects such as glass, plastic, and some cell structures and proteins, have high refractive indices, and are therefore readily controllable with OT. Objects with lower refractive indices, especially when the index is close to water’s, are more difficult to trap effectively in aqueous biological contexts. In some cases, particle coatings are introduced to allow more efficient and therefore stronger trapping capabilities[14, 15].

The particle’s position within the trapping beam is the final important factor. As shown in Figure 1C, for a spherical particle, the further away the particle is from the center of the trap, the larger the beam deflection is, and therefore the larger the resulting force. Above a certain distance, however, photons from the trap will start “missing” the particle, resulting in the decrease of momentum transfer, and eventually the particle’s escape from the trap. These relationships between particle positions within the trap and the OT forces that result have been explored in detail elsewhere [1618].

There are several basic methods for delivering OT (Box 1), each suited to specific types of experiments. In some studies, it is necessary to direct OT to different positions within a stationary sample. This requires beam steering, which can be achieved using a beam steering mirror (manual such as gimbal mirrors[19], or motorized such as galvo mirrors [20]) or a spatial light modulator (SLM) (Box 1)[21]. Other studies require multiple traps to be placed on different objects or within the same object, and this can be achieved by methods such as beam splitting [19], time sharing [22], or holography[23].

BOX 1: Methods for delivering OT.

The nature of the desired OT measurements or manipulations dictates the complexity and configuration of the OT setup. Some common applications, with associated optical equipment, are summarized in this box.

Simple OT microscope (Panel A)

A simple OT setup is composed of two systems: a trapping system and an imaging system (Figure IA). The trapping optics comprise a laser beam (Figure IA, red) expanded by a telescope (two lenses positioned two focal lengths apart) to overfill the back aperture of a high numerical aperture microscope objective (trapping objective), a dichroic mirror to direct the laser beam towards the microscope objective, and the microscope objective itself.

The imaging optics comprise an illumination light (A, blue), a lens or another microscope objective (called a condenser) to create a collimated beam of light in the sample, the trapping objective, a lens to focus the sample image, and a camera. The imaging light (A, blue) passes through the dichroic mirror, rather than being reflected. The optics are placed such that the plane where the OT is located is imaged onto the camera, which allows the live visualization of the trapped object and its environment. Filters are often required in front of the camera to block the intense back-scattered light from the OT.

In this configuration, the laser beam is focused to a tight diffraction-limited spot. The OT within the sample chamber is stationary, and the physical displacement of the target particles or sample can be applied by moving the sample stage. If the goal is to rotate, rather than to apply a directional force to the target object, this can be done using a birefringent object and a circularly polarized laser beam. Such rotational forces allow for the optical alignment of the object [28] and viscoelastic measurements of the target’s medium[29]. A convenient method to displace the optical trap rather than the sample would be to introduce a steering mirror between the laser beam telescope and the dichroic mirror [30].

OT with force measurements (Panel B)

As we have discussed, many studies require the precise measurements of OT forces. These measurements can be achieved either by analyzing of the trapped particle’s absolute position on the videos captured by the camera, or by measuring the relative position of the trapping beam on a position detector[31]. In the latter case, a second dichroic mirror reflects the trapping laser beam through a lens to the position detector (typically a quadrant photodetector or a position-sensitive detector) (Panels B and C). The advantage of using a position detector is its high speed and precision compared to most cameras.

Holographic OT (HOT, Panel C)

Light-shaping approaches including holography make it possible to create multiple dynamic traps within a 3D volume. Practically, this involves adding a light shaping element, such as a spatial light modulator (SLM), to the OT pathway prior to the sample. The SLM shapes the beam’s wavefront, creating patterns of constructive and destructive interference within the sample, with bright spots at the sites of constructive interference serving as traps. The additional optical elements for this change are a mirror and a telescope (Panel C). This addition adds complexity to the setup, as the holograms displayed by the SLM need to be calculated. Methods and codes for performing these calculations have been shared and can be found online [32].

Microscopy methods that are compatible with OT

Due to their flexibility, OT systems are relatively easy to combine with existing microscope systems, and past studies have combined OT with techniques including epifluorescence[33], confocal fluorescence[34], TIRF and FRET [35], Raman spectroscopy[36], differential interference contrast (DIC)[37], interference reflection microscopy (IRM)[38], and super-resolution microscopy (STED)[39]. Commercial suppliers of optical traps also offer OT with IRM, confocal, STED, and others.

For many biophysical studies using OT, it is critical to quantify the force that is being delivered to the targeted object. In principle, the force applied to a particle can be gauged by measuring the net angle of the light after refraction by the object (Figure 1B and C), which can also be measured as a relative position of the particle to the center of the focused laser beam after passing through a lens. This measurement is usually made by collecting the beam in a high numerical aperture objective after it has passed through the sample[24]. In practice, measuring the relationship between the relative position of the particle and the net angle of the exiting beam is complicated by a number of factors, including the medium surrounding the particle, the properties of the laser beam, and optical elements including coverslips and microscope objectives. As a result, tailored calibration methods (reviewed comprehensively in [25]) must be applied before the trapping forces can be calculated from the object’s relative position.

The source of the OT beam is another important factor, and for most applications, OT is created using a continuous wave laser with a wavelength in the visible or near-infrared region. To limit laser absorption in biological material, wavelengths in the near infrared region are preferable [26]). The laser power needed usually sits between 10 mW and 1 W, but this varies dramatically depending on the target and the OT system’s optics. For biological applications, it is also important to consider the heating effect and potential damage caused by the beam (Box 2).

Box 2: OT Heat Effects and Phototoxicity.

While low doses of light, especially the near infrared light often used in OT, are generally well tolerated by cells, concerns about phototoxicity arise when traps are strong or used for long durations[96]. Studies in S. cerevisiae have shown that 60s of 25mW trapping using a 785nm diode laser and a 100x objective does not have discernible impacts on the cells’ health, but can delay subsequent budding [97]. A thorough analysis of a 1064nm laser’s impact on S. cerevisiae showed that 15 minutes at 19, 38, 76, and 95mW through a 60x objective led to no effect, delays in budding, 50% mortality, and 90% mortality, respectively[98].

Heating is one likely mechanism for this toxicity, and recent work has helped to quantify such effects during OT. Under typical parameters for OT (100mW 1064nm laser through 60x or 100x objectives) OT caused a microsphere-bearing aqueous medium to warm by 4–5 °C in focused locations, although these effects were highly variable depending on the sizes of the beads and the optical configuration [99]. More powerful OT (at or above 300mW 1064nm laser through a 100x objective) regularly damages or kills red blood cells, possibly by creating a thermal gradient across the membrane surface that causes membrane permeabilization and cell rupture [100].

Others have proposed to harness OT photodamage as a therapeutic agent. By scanning an OT to produce low frequency vibrations in cell nuclei, they produced necrosis in the leukemia cells under conditions that left healthy leukocytes intact [101]. They propose that nuclear vibration leads to disruption of the cytoskeleton and the membrane cortex, leading to irreversible membrane permeability and necrosis. Structural characteristics of leukemia cells, such as increased nucleus-to-cytoplasm ratios and greater cytoplasmic stiffness, are cited as possible reasons for these cells’ enhanced susceptibility to vibrational OT.

It is worth highlighting that photo- and thermal damage varies dramatically depending on the wavelength and power of the laser; the duration of the OT; the optical configuration; and the structure, physiology, and absorptive properties of the target cell. Researchers seldom measure the OT power at the specimen, so it is difficult to make apples-to-apples comparisons of OT damage across studies. As a result, the best practice is to make careful observations for evidence of photo- or thermal toxicity, and to take these effects into account while interpreting results from OT studies. There are also approaches for preventing the toxic effects of heating with OT, for instance by using gripper formations of dielectric beads to avoid direct light exposure[102], or by cooling the specimen using temperature-controlled stages [103, 104]. The impacts of free oxygen radicals that can arise from irradiation can be mitigated by using oxygen scavenging reagents[105, 106] or carefully selected laser wavelengths [107].

Of course, OT experiments must take all of these considerations into account, and studies of diverse cellular targets have led to a wide array of OT methods and instrumentation (summarized in Box 1)[18, 27]. Often the primary consideration for a physicist, however, is the size of the object being targeted, which has profound implications for the efficacy of OT, and therefore for the specific methods that will be most effective (see Table 1). From the cell biologist’s standpoint, the target’s size is a logical first consideration because most research questions spring from an interest in a particular cellular object, with a predetermined size. Given the different optical approaches and biological questions that apply to OT targets of different sizes, we will use the following three sections to explore recent work across three scales: molecular, subcellular, and cellular. We will then address the particular challenges of performing OT in vivo.

Table 1:

Challenges and methods for OT at different scales

Regime Size Range Examples of targets Challenges to OT Solutions Examples of Applications Example References
Molecular <10nm Proteins Nucleic acids Targets are much smaller than the optical trap, and cannot be confined efficiently. Tether targets to trappable beads Binding and interaction force measurements between sub-micrometer elements
Full energy profiles of a molecules’ tertiary structures
Strength and stepping dynamics of molecular motors
[7, 10, 37, 117121]
Subcellular ~10nm-1μm Organelles
Membranes
Vesicles
Often smaller than the opticaltrap
Flat shapes not amenable to OT
Similar refractive index to surroundings
Tether to trappable beads
Use adaptive optics to maximize OT force
Membrane tension, pressure, and stiffness
Viscoelasticity of membrane and liquids
Drug delivery
[7480, 122, 123]
Cellular ~1–10μm Whole cells Thermal or photodamage resulting from OT laser Minimize laser power and OT duration Cells stress and health
Cells interactions and behavior
Growth and displacement forces
[91, 124129]
In vivo various Whole cells
Macroscopic biological structures (e.g. otoliths)
Structures are much larger than the optical trap, and cannot be confined efficiently
Scattering and absorption in vivo causing difficulty in light penetration
Stronger OT forces required to move massive objects
Use optimal wavelength of OT light for deep penetration
Use adaptive optics to correct for scattering
Deliver light with Optical fiber.
Cellular transplantation.
Alterations of blood flow.
Fictive sensory stimulation.
[108110, 125127, 130]

OT at the molecular level: studying proteins and nucleic acids

Molecular dynamics within cells involve interactions on the scales of angstroms to nanometers, and on nano- or milliseconds timescales. This regime is challenging for direct optical manipulation because the diffraction limit of conventional OT systems restricts the minimum trap size that can be achieved. A common solution is to use a trappable anchor particle attached to the target molecule (Figure 1D). By manipulating molecules indirectly through these anchors, OT can probe movements, interactions, and forces among molecules that cannot themselves be trapped.

Historically, and especially in recent years, the measurement and application of minute, controlled forces through OT have been important for describing the tertiary structures of proteins[4045] and interactions between proteins and nucleic acids[4652]. This section, however, will focus on dramatic recent progress toward understanding the molecular forces involved in cell division, both in the tethering and separation of sister chromosomes and chromatids, and in the molecular motors and cytoskeletal elements that mediate chromosome segregation and division itself. In many cases[5356], in vitro assays have extended beyond measurements of individual motor proteins into more physiological preparations in which teams of motor proteins act on bundles of cytoskeletal components, thus giving a more realistic readout of their activities in intact dividing cells[57].

For mitosis to occur correctly and to avoid aneuploidy, the chromosomes must be carefully positioned between the centrosomes, the sister chromatids must be aligned and bound together early in mitosis, and then must be separated and pulled in opposite directions (Figure 2A). Each of these steps involves numerous minute and carefully orchestrated physical forces, and it is exactly these sorts of forces that can be effectively measured or applied using OT. In the past few years alone, OT studies have revealed several key mechanistic features of the mitotic machinery and the ways in which it applies the forces needed for faithful chromosome segregation[57].

Figure 2: Insights on mitosis, made possible by OT.

Figure 2:

(A) A schematic cell that, for the purposes of illustration, shows different stages of mitosis (early to late, top to bottom). Letters and boxes refer to processes highlighted in panels (B-D). (B) A schematic representation of typical of OT experiments on motor proteins. In this case a MT is tethered to a bead, and OT of the bead measures the force generation or braking strength of the motor proteins tethering the trapped MT to another MT. This preparation is typical of recent studies in which teams of numerous individual motor proteins are studies working on their natural substrates, such as MTs [5356]. (C) An illustration of the in vitro preparation for studying ultra-fine bridge (UFB) recognition complexes (ref [65]). Pairs of beads allowed for OT tension to be applied to the synthetic UFB linking them. Various protein complexes (small circles) were tested for their effects on the synthetic UFBs’ stability and strength. (D) Laser cutting of one chromatid, which produces a fragment tethered near the telomere of the sister chromatid (right, tether not shown), leads to aneuploidy if the fragment is pulled in a cross-polar direction into the wrong daughter cell. This preparation serves as a model for naturally occurring aneuploidy and for the roles that tethers play in chromosome segregation and mis-segregation. OT can be used to pull the fragment away from its sister chromatid, thus allowing measurements of the strength and progressive dissolution of tethers as mitosis proceeds [64]. (E) With the NDC80 complex (green attachment) bound to an anchored MT and a trappable bead, OT was used to measure the forces harnessed by NDC80 as the MT depolarized, helping to explain how this kinetochore protein complex assists in transporting chromatids to the spindle poles during mitosis [68].

An early step in mitosis is the establishment of two opposing poles for the mitotic spindle, and the force pushing poles apart largely comes from the Kinesin-5 Eg5 motor protein. Eg5 is a plus-end motor that pushes two antiparallel microtubules along each other, allowing polar microtubules (MTs) sprouting from opposite centromeres and overlapping in the spindle equator region to be pushed in opposite directions (Figure 2B). An in vitro study of these motors used OT of tethered beads to measure the direction and force of Eg5-driven MT movements, as well as another motor protein, the Kinesin-14 HSET’s, influence over these forces[58]. In contrast to Eg5’s powerful and unidirectional force generation, HSET was found to slide across antiparallel MTs in either direction (thus stabilizing regions of MT overlap), and also to moderate the force delivered by Eg5 (presumably to balance the forces pushing the spindle apart and pushing it together). The correct balance of these forces is necessary for the establishment of two opposing spindle poles, which sets the stage for chromatid segregation.

The next step is the alignment of the chromosomes at the equator, and it is important that sister chromatids remain bound until this alignment is complete. It is only then that an orchestrated separation of the chromatids proceeds, providing one copy of all genetic material to each daughter cell [59]. When structures binding sister chromatids, such and mitotic tethers[60, 61] and ultra-fine bridges (UFBs)[62, 63], fail to release, chromatids or their fragments can be pulled in a cross-polar direction to the wrong pole, leading to aneuploidy. This controlled release of sister chromatids was addressed with an innovative combination of laser cutting of chromatids and tethers, and OT of the resulting chromatid fragments [64]. Predictably, when tethers between chromatids were cut, there was a reduction in cross-polar forces (Figure 2D). Furthermore, following laser cutting of chromatids, fragments attached to the kinetochore consistently moved toward the correct pole while fragments attached to the telomeres at the ends of the chromatid were often dragged in the cross-polar direction. These experiments showed that the tethers provide a binding force between the sister chromatids, that they are located at the tips of the chromatids, and that this binding must be overcome by forces applied to the kinetochore in order to segregate the chromatids correctly.

UFBs are connections comprising DNA and proteins that link sister chromatids [62, 63]. The assembly, strength, and disassembly of these bridges has been addressed using pairs of trappable beads linked by synthetic UFBs [65]. The OT served two purposes in this preparation. First, it permitted controlled movements of the preparation through different chambers of a microfluidics device, allowing for the sequential formation of protein complexes on the DNA bridges. Different fluorescent labels were used on different UFB proteins in the microfluidics device, allowing the exact composition of the synthetic UFBs to be controlled and validated (highlighting the compatibility of OT with fluorescence microscopy). Second, by applying opposite forces on the two beads, OT tested the strengths of the bridges with different protein compositions and DNA configurations (Figure 2C). While the biochemical fundamentals of UFBs had previously been described, this work showed the protein composition, stoichiometry, and sequential construction of UFB recognition complexes. The work also helped to explain how these protein complexes disassemble UFBs without creating uncontrolled DNA breaks just prior to cell division.

Segregation of the chromatids depends on the force applied by MTs to the kinetochores of each chromatid. This process does not, however, directly involve molecular motors; the force is generated as the kinetochore maintains contact with the depolymerizing end of MTs as they shrink back toward the spindle pole [66, 67]. The binding between kinetochores and MT tips is mediated by the nuclear division cycle 80 (NDC80) complex of proteins, but until recently, it was unknown whether this complex simply pulls the kinetochore passively along the MT as it depolymerizes, or whether it harnesses the energy released in MT depolymerization to power its translation down the MT lattice. This issue was addressed by assembling kinetochore modules with NDC80 complexes on glass beads, by applying OT to those beads as they translated along depolymerizing MTs, and by measuring the forces that were pulling the beads along the depolymerizing MTs [68] (Figure 2E). The results supported the idea that the kinetochore is actively driven down the MT using the force released by depolymerization, thus providing a major portion of the force required to move each chromatid into the appropriate daughter cell.

The aforementioned Kinesin-5 Eg5 motor protein pushes antiparallel polar MTs across each other, thus providing much of the force for establish spindle poles and separating sister chromatids [53, 69]. It is surprising, therefore, that mammalian cells exposed to Eg5 poisons can survive and divide. In these cells, it is another motor protein, Kif15, that redistributes itself from its normal location on kinetochore MTs to play a wider role in the mitotic spindle[70, 71]. OT of glass beads attached to Kif15 motors allowed for a structure-function analysis of the Kif15 protein and its ability to produce sliding forces in antiparallel pairs of MTs[54]. This work described the step size and force generation of the motor protein, accounting for its ability to expand its role in spindle dynamics and cell division when Eg5 is missing.

Finally, in-vitro OT has been used to describe the force generated by the Kinesin-14 motor protein Ncd in the mitotic spindle. It was known that Ncd dimers actively step on one MT with their motor domains while sliding diffusively along another MT with their passive tail domains [56]. Recent OT work showed that Ncd delivered rapid and powerful stepping on MTs when it was immobilized, but that most of this power was lost when Ncd was linking two antiparallel MTs [55]. Interestingly, when two linked MTs were non-aligned, the diffusive tail was less prone to slippage, and force generation between the MTs was restored [55]. This means that Ncd applies forces to non-aligned MTs, but not to antiparallel MT pairs. Suggested roles for this motor, therefore, include the transport of new unincorporated MTs, the pliable and force-free linking of antiparallel MTs, or the rearrangement of nonaligned MTs into an antiparallel orientation.

Subcellular OT to study membranes, stiffness, and fluidity

Just beyond the molecular scale sits a subcellular scale where membranes, organelles, vesicles, and other structures perform many of the crucial functions of cell biology. As a result, great efforts have been made toward observing and manipulating these structures. Many of these studies include the use of OT[72, 73]. While OT can operate on the scale of tens to hundreds of nanometers in a vacuum[5] or low scattering media[2], OT of biological systems on these scales is challenging. This is due, in part, to the scattering and absorption of light in cells and tissues, but also to the irregular shapes of many biological target objects, and especially to the small differences in refractive indices between most cellular structures. The target object and its surroundings will therefore dictate the feasibility of direct or indirect (bead tethered) OT within the system. Regardless of whether the trapping has been direct or indirect, OT has proven to be particularly useful in studies of cell signaling pathways; cellular interactions and behavior; and membrane tension, pressure, and stiffness[7480].

Mechano-transduction is a process by which mechanical forces from the environment elicit intracellular signaling and adaptive responses in the affected cell. The sensitivity and nature of these responses can be probed using controlled OT forces that mimic naturally occurring mechanical stresses. For instance, an optically-trapped bead can be used as an indentation tool, in one case applying controlled piconewton forces in vitro to mouse neuroblastoma cells [74]. This approach showed that soft mechanical stresses (equivalent to the force produced by a moving lamellipodium) induce intracellular calcium signaling [74], suggesting that mechano-transduction pathways are sensitive to physiologically-relevant mechanical forces in individual cells.

OT has also been employed to study cells’ impacts on their surroundings, specifically regarding how contracting cells influence the tension and stiffness of the extracellular matrix (ECM) that surrounds them (Figure 3B) [81]. The approach involved embedding trappable beads in synthetic ECM in the vicinity of cells that were exerting large mechanical stresses. OT measurements of the forces necessary to trap or move ECM-embedded beads revealed the relative stiffness of the ECM at various locations around contracting and relaxed cells. The results show that cell-induced stresses result in significant stiffness gradients across the extracellular matrix, including at magnitudes and distances that would allow nearby cells to sense and respond to these gradients [81].

Cancer cells’ interactions with their surroundings are of particular interest, as changes in the cells’ stiffness, membrane fluidity, and mobility have implications for metastasis. OT is particularly well suited to measuring stiffness (through in an indentation assay with a trappable bead) and has specifically been used to measure how stiffness varies across various breast cancer cell lines and in different contexts [78]. While these different lines of cells have characteristic levels of stiffness in isolation, their stiffness changes dramatically when they are placed on synthetic ECM of various rigidities. More aggressive cells, in particular, gain stiffness when on matrix, and this stiffness increases further when they are in contact with other cells in the matrix [78]. This shows that the mechanical structure of the environment is a key factor in these cancer cells’ stiffness, and therefore their potential for mobility. By extension, this mechanism could mediate intercellular mechanical communication and collective durotaxis [78].

In another study of cancer cells’ mechanical properties, trappable beads were embedded in human cancer cells’ membranes, and OT was used to stretch these tethers away from the cell in discrete steps [82]. This allowed the membrane fluidity to be modelled based on the relaxation curves of the membrane after each stretch. This study found that transfection with a cancer-associated microRNA led to an increase in membrane fluidity that paralleled increased migration and invasion by the cells in vitro [82]. A similar study used OT to measure the force profiles of membrane tethers pulled from human ovarian cancer cells [83]. The results indicated that the force required to separate the membranes of cancerous cells from the cytoskeleton was significantly lower than the force required for non-cancerous cells, again with implications for metastasis [83]. –These two studies, along with others studying molecular interactions in cancer cells [84, 85], demonstrate OT’s particular suitability for measuring cells’ mechanical properties, providing useful diagnostic methods for the metastatic potential of cells, and for the potential effectiveness of targeted therapeutics.

Optical manipulation of whole cells

As we move to the scale of whole cells, we move into a range where the objects’ physical properties are often sufficient to allow efficient optical traps. As such, most OT studies of whole cells do not use beads or other anchors to facilitate OT. The cells themselves are trappable and OT-based studies of their interactions or behavior can be performed directly[86, 87].

In some cases, OT simply provides a tool for capturing, transporting, and precisely placing individual cells, allowing for the controlled construction of arrays or assemblies of selected cells. This was an effective approach, for example, for capturing specific types of neurons from a population of dissociated tiger salamander retinal cells and for delivering these selected neurons, one by one, onto precise positions of a multielectrode array (MEA) [88]. This permitted the controlled assembly of an in vitro circuit mimicking the circuits found naturally in salamander retinas. Electrical stimulation of targeted neurons within the network, using the MEA device, led to activity across the network that could be recorded using calcium imaging, thus revealing the functional properties of this synthetic network [88]. Another proof-of-principle study used photonic-crystal-enhanced OT to trap individual human pluripotent stem cells, delivering them precisely into assemblies of 8–10 cells, and using OT forces on the assemblies to test their adhesion to their substrate [89]. In other cases, the objective has been the opposite: to study individual cells in isolation. One example has been the creation of cultures of Salmonella bacteria, each derived from an individual Salmonella cell. This was made possible by a digital microfluidics device in which each well contained one magnetic bead fused to single Salmonella cell. The cell in each well was assessed for fluorescent labelling, after which the authors optically trapped the beads attached to fluorescent cells, isolated them, and used them to seed a colony [90].

Finally, OT can be used to probe the physical properties of whole cells, and this has been particularly beneficial for the study of red blood cells (RBCs)[8, 91], which rely on being flexible and resilient as they undergo strong fluid forces and squeeze through capillaries. When RBCs lose their deformability or aggregate inappropriately, this can block capillaries and other small vessels, with dire consequences for circulation. Flexibility can be measured by placing two optical traps, pulling in opposite directions, on opposite sides of an individual RBC (as depicted in Figure 1E). The degree to which an RBC deforms can be expressed as a deformability index (DI), which is the cell’s proportional increase in diameter when stretched in this way. This approach has been used, for instance, to show that RBCs from diabetic patients have lower DIs than control RBCs do [92], suggesting one possible mechanism for vascular occlusive disorders in this cohort. Using a similar approach with a single OT, it has been shown that Atorvastatin, a commonly prescribed statin drug, directly increases the elasticity of RBCs when applied in vitro [93]. When studying aggregation of RBCs, OT can be used to measure the interactions among RGCs and the forces that cause them to adhere to or be repelled by one another (Figure 3C) [76, 94]. This approach has been used to study whether nanoparticles, which could be embedded in RBC membranes as a drug delivery method, affect the aggregation properties of the RGCs carrying them. Using OT to assess aggregation forces among RGCs, researchers have demonstrated that nanodiamonds, but not other types of nanoparticles, cause increases in RGC aggregation forces and the resulting formation of larger RGC aggregates in vitro [95].

Optical manipulation in vivo

Ultimately, analyses of biological processes on the microscopic scale are pursued to better understand large scale phenomena, including at the organismal scale. These topics might include cell migration, system-scale physiology (blood flow, for instance), and sensory perception. Such studies, by their very nature, are best performed in vivo. The scattering properties, size, and opacity of many model organisms provide obstacles to in vivo OT, although methods to reduce light distortion can mitigate these effects in some cases [108110].

One example of such in vivo work is the use of OT for the targeted transplantation of single cells. This approach has been used to study the behavior of individual hematopoietic stem cells (HSCs) when transplanted into bone marrow (BM). After capturing single stem cells with OT, performing laser microsurgery on the bone to expose BM in live mice, and seeding the individual stem cells into the BM, researchers could repeatedly return to the site to image the engraftment of the HSC and its interaction with the BM [111]. This provides proof of principle for a method that could be used in the future to study the reconstitution of blood cells with transplanted HSCs or the mechanisms underlying tumor formation by cancer stem cells.

Making use of the optical properties of small transparent zebrafish larvae, researchers have investigated cardiovascular development by controlling blood flow with OT. Specifically, they modelled hereditary hemorrhagic telangiectasia (HHT), which can cause disruption of blood flow and internal bleeding [112]. HHT model larvae have little or no blood flow through their small intersegmental vessels (ISVs), and OT was attempted to alter the RBCs’ trajectories and redirect them into empty capillaries. This approach led to a significant increase in the number of RBCs entering the ISVs, demonstrating the effectiveness of these dynamic traps. In the future, further advances in this method could assist in studying blood cell-to-vessel interactions and in the design and implantation of synthetic capillaries.

Optical trapping on an even larger scale has helped to reveal the brain-wide networks of neurons that allow for hearing and vestibular perception[20, 113, 114]. In larval zebrafish, both senses are reliant on otoliths, or ear-stones, which are disk-shaped calcium carbonate crystals roughly 30–50μm in diameter. Rapid vibrations of the otoliths relative to the rest of the ear provide the fundamental signal for hearing, while slow gradual movements underlie vestibular perception. Because they are transparent and have a high refractive index, otoliths are readily trapped, producing piconewton-scale forces that simulate natural acceleration and elicit behavioral responses normally used by the animal to counteract rolling movements[113]. The use of OT provides two benefits in this context. First, out of the four otoliths in zebrafish larvae, OT permits the targeted stimulation of individual otoliths or pairs of otoliths (with dual OT), thus revealing their specific contributions to behavior. Second and more importantly, it can drive vestibular processing in the brains of stationary animals, facilitating calcium imaging in the brain. Such OT of the otoliths, combined with light-sheet microscopy for calcium imaging, revealed patterns of brain-wide activity during vestibular perception[114]. Finally, oscillating OT can produce vibrations of the otoliths at controlled frequencies, allowing the controlled delivery of fictive auditory (high frequency) and vestibular (low frequency) stimuli, and further permitting calcium imaging to describe their distinct but overlapping sensory pathways in the brain[20]. The observed auditory responses in the brain, despite the rudimentary nature of the Bio-Opto-Acoustics (BOA) stimuli in this initial study, closely resembled elements of brain-wide auditory processing networks stimulated by actual sound [115, 116].

Concluding Remarks

OT has provided valuable insights into biological form and function on scales ranging from single molecules to whole organisms (see Table 1). In many cases, basic OT has been cleverly extended by advanced optical methods, thus increasing its reach and precision. However, there is still room for improvement, and recent advances in optics and computation hold the potential to drive the next generation of OT.

Computational modelling of OT has been used for designing efficient optical traps, understanding optical forces and torques, and modelling the dynamics of the objects being trapped [131]. Often, for the purposes of modelling forces, the object is represented as a sphere or given another simple geometry. Similarly, the object’s environment is usually simplified as non-scattering and homogeneous. This is because the complexity of the object and environment considerably increases the complexity of force calculations and associated computational time. Therefore, increased computational power, as well as advances in the algorithms used to model optical forces, will be beneficial to ongoing advancement of OT technology. As an example, recent developments in machine learning have led to faster methods for simulating light scattering [132] as well as simulating particles in OT[133]. Further progress along these lines will be important for designing optical traps with stronger trapping forces or more nuanced and physiological force delivery.

While computational tools have enabled more elaborate beam shapes for OT, this does not resolve the problem of scattering that occurs once the beams enter biological tissue. As discussed earlier, wavefront shaping is a promising method for counteracting scattering and reaching deeper into biological systems with OT. While light shaping methods have traditionally been applied to the improvement of imaging quality, they should prove just as suitable for refining OT in the future.

Another way to reach deep into a scattering tissue is to use an optical fiber, and recent advances in the materials and structures of fiber optical tweezers (FOT) suggest that this could be the most realistic future direction for delivering OT into highly scattering tissues like the brain[134]. Specifically, the development of multimode fibers and computational tools that allow real-time beam shaping [135, 136] hold great potential for applying OT to neuroscience. Similarly, the ongoing development of more sophisticated fibers, including hollow core and graded index fibers, as well fibers with integrated lenses[137], will extend the power and precision possible for FOT.

As physicists and biologists continue to adapt methods such as adaptive optics and light shaping from microscopy, adopt more advanced fibers and detectors, and utilize more powerful computers and improved algorithms for modelling light, we expect OT’s range and sensitivity to continue to expand, opening up further questions (see Outstanding questions box) in cell biology and beyond.

Outstanding questions.

  • Is OT the best method for characterizing mechanobiology? OT has been enormously valuable in mechanobiology, especially at microscopic scales. Nonetheless, each study needs to identify the strength and limitations of individual and combined optical methods to judge which will provide the best and most reliable results for each experimental context.

  • Would more advanced modelling of scattering tissue support adaptive optics? Adaptive optics, which have the capacity to counteract scattering caused by biological tissue, can be informed by prior modelling or by empirical refinement in each specimen. The randomness of biological matter may never allow effective correction of distorted light propagation based on computational modelling, and in situ measurement and correction methods may prevail.

  • Can optical fibers be further refined for OT? Optical fibers provide a means of delivering light deep into a specimen without scattering, but basic optical fibers do not deliver optimal OT. Future advances in fiber technology may permit fine control over trapping light for effective FOT deep in biological tissue.

Figure I: Common elements constituting optical tweezer setups.

Figure I:

(A). a simple OT microscope composed of trapping optics (along the red beam) and the imaging optics (along the blue beam). C: Camera, La: Laser, L: Lens, M: Mirror, DM: Dichroic Mirror, O: Objective, S: Sample, LS: Light source. (B). OT microscope composed of trapping optics and force measurement optics (along the red beam) and the imaging optics (along the blue beam). PD: Position Detector. (C). OT microscope composed of highly flexible trapping optics and force measurement optics (along the red beam) and the imaging optics (along the blue beam). SLM: Spatial Light Modulator.

Highlights.

  • Optical tweezers can measure or apply minute forces inside cells noninvasively.

  • Recent developments in optical tweezer technology have allowed insights into the structure, function, and behavior of cells.

  • Particular progress has been made in understanding mitotic machinery, cellular viscoelasticity, and metastasis.

  • Emerging methods in optical physics promise to extend the breadth and utility of optical tweezers in the years to come.

Aknowledgements:

We thank Julia Horsfield for valuable feedback on this review. E.K.S. is supported by an NHMRC Project Grant (APP1066887), a Simons Foundation Research Award (625793), and two ARC Discovery Project Grants (DP140102036 & DP110103612). This publication was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award Number R01NS118406 to E.K.S. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Glossary box

Aneuploidy

a condition where a cell has missing or additional copies of a chromosome or part of a chromosome

Chromatid

one of two identical halves of a replicated chromosome

Diffraction limit

smallest spot size achieved by an optical illumination instrument, or resolution of an optical imaging instrument

Durotaxis

a form of cell migration in which cells are guided by the stiffness gradients of the extracellular matrix

Holography

the study or production of three-dimensional images by modifying the amplitude and phase distributions of a light wave

Kinetochore

a protein assembly on the centromere of a chromosome, providing load-bearing attachments for sister chromatids during cell division

Metastasis

the process by which cancer cells migrate away from an initially formed tumor

Mitosis

a type of cell division where a single cell divides into two daughter cells, each having the same number and kind of chromosomes

Mitotic spindle

a cytoskeletal structure that mediates chromosome segregation during mitosis

Optical fiber

a thin, flexible, transparent fiber with a glass (silica) or plastic core through which light signals can be sent with very little loss

Optical tweezers

optical instruments that use highly focused laser beams to create optical traps

Optical trap

a focused spot of light that draws in and holds transparent objects of high refractive index

Refractive index

a value related to the refraction angle of a light path when entering a material and calculated from the ratio of the speed of light in a vacuum to that in a second medium of greater density

Spatial light modulator

optical instrument that imposes spatially varying modulation on the wavefront of a beam of light. This can result in a hologram once this beam is subsequently focused

Wavefront

an imaginary surface over which the phase of the wave is constant

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Declaration of Interests:

The authors declare no competing interests.

References

  • 1.Ashkin A (1970) Acceleration and trapping of particles by radiation pressure. Physical review letters 24 (4), 156. [DOI] [PubMed] [Google Scholar]
  • 2.Ashkin A et al. (1986) Observation of a single-beam gradient force optical trap for dielectric particles. Optics letters 11 (5), 288–290. [DOI] [PubMed] [Google Scholar]
  • 3.Killian JL et al. (2018) Optical tweezers: a force to be reckoned with. Cell 175 (6), 1445–1448. [DOI] [PubMed] [Google Scholar]
  • 4.Kaufman AM and Ni K-K (2021) Quantum science with optical tweezer arrays of ultracold atoms and molecules. Nature Physics 17 (12), 1324–1333. [Google Scholar]
  • 5.Li N et al. (2019) Review of optical tweezers in vacuum. Frontiers of information technology & electronic engineering 20 (5), 655–673. [Google Scholar]
  • 6.Bustamante CJ et al. (2021) Optical tweezers in single-molecule biophysics. Nature Reviews Methods Primers 1 (1), 1–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Bustamante C et al. (2020) Single-molecule studies of protein folding with optical tweezers. Annual review of biochemistry 89, 443–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Avsievich T et al. (2020) The advancement of blood cell research by optical tweezers. Reviews in Physics 5, 100043. [Google Scholar]
  • 9.Arbore C et al. (2019) Probing force in living cells with optical tweezers: from single-molecule mechanics to cell mechanotransduction. Biophysical reviews 11 (5), 765–782. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Rodríguez-Sevilla P et al. (2017) Optical trapping for biosensing: materials and applications. Journal of Materials Chemistry B 5 (46), 9085–9101. [DOI] [PubMed] [Google Scholar]
  • 11.Melzer JE and McLeod E (2018) Fundamental limits of optical tweezer nanoparticle manipulation speeds. ACS nano 12 (3), 2440–2447. [DOI] [PubMed] [Google Scholar]
  • 12.Campos WH et al. (2018) How light absorption modifies the radiative force on a microparticle in optical tweezers. Applied Optics 57 (25), 7216–7224. [DOI] [PubMed] [Google Scholar]
  • 13.Ling L et al. (2010) Optical forces on arbitrary shaped particles in optical tweezers. Journal of Applied Physics 108 (7), 073110. [Google Scholar]
  • 14.Spesyvtseva SES and Dholakia K (2016) Trapping in a material world. Acs Photonics 3 (5), 719–736. [Google Scholar]
  • 15.Bormuth V et al. (2008) Optical trapping of coated microspheres. Optics express 16 (18), 13831–13844. [DOI] [PubMed] [Google Scholar]
  • 16.Nieminen TA et al. (2014) Optical tweezers: Theory and modelling. Journal of Quantitative Spectroscopy and Radiative Transfer 146, 59–80. [Google Scholar]
  • 17.Jahnel M et al. (2011) Measuring the complete force field of an optical trap. Optics letters 36 (7), 1260–1262. [DOI] [PubMed] [Google Scholar]
  • 18.Polimeno P et al. (2018) Optical tweezers and their applications. Journal of Quantitative Spectroscopy and Radiative Transfer 218, 131–150. [Google Scholar]
  • 19.Fällman E and Axner O (1997) Design for fully steerable dual-trap optical tweezers. Applied Optics 36 (10), 2107–2113. [DOI] [PubMed] [Google Scholar]
  • 20.Favre-Bulle IA et al. (2020) Sound generation in zebrafish with Bio-Opto-Acoustics. Nature Communications 11 (1), 6120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Leach J et al. (2006) Interactive approach to optical tweezers control. Applied optics 45 (5), 897–903. [DOI] [PubMed] [Google Scholar]
  • 22.Visscher K et al. (1993) Micromanipulation by “multiple” optical traps created by a single fast scanning trap integrated with the bilateral confocal scanning laser microscope. Cytometry: The Journal of the International Society for Analytical Cytology 14 (2), 105–114. [DOI] [PubMed] [Google Scholar]
  • 23.Spalding GC et al. (2008) Holographic optical tweezers, Academic Press. [Google Scholar]
  • 24.Favre-Bulle IA et al. (2019) Optical trapping in vivo: theory, practice, and applications. Nanophotonics 8 (6), 1023–1040. [Google Scholar]
  • 25.Gieseler J et al. (2021) Optical tweezers—from calibration to applications: a tutorial. Advances in Optics and Photonics 13 (1), 74–241. [Google Scholar]
  • 26.Svoboda K and Block SM (1994) Biological applications of optical forces. Annual review of biophysics and biomolecular structure 23 (1), 247–285. [DOI] [PubMed] [Google Scholar]
  • 27.Lenton ICD et al. (2020) Optical Tweezers Exploring Neuroscience. Frontiers in Bioengineering and Biotechnology 8 (1360). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Singer W et al. (2004) Manipulation and growth of birefringent protein crystals in optical tweezers. Optics express 12 (26), 6440–6445. [DOI] [PubMed] [Google Scholar]
  • 29.Watts F et al. (2013) Investigating the micro-rheology of the vitreous humor using an optically trapped local probe. Journal of Optics 16 (1), 015301. [Google Scholar]
  • 30.McGloin D (2006) Optical tweezers: 20 years on. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 364 (1849), 3521–3537. [DOI] [PubMed] [Google Scholar]
  • 31.Keen S et al. (2007) Comparison of a high-speed camera and a quadrant detector for measuring displacements in optical tweezers. Journal of Optics A: Pure and Applied Optics 9 (8), S264. [Google Scholar]
  • 32.Lenton IC et al. (2020) OTSLM toolbox for structured light methods. Computer Physics Communications 253, 107199. [Google Scholar]
  • 33.Enger J et al. (2004) Optical tweezers applied to a microfluidic system. Lab on a Chip 4 (3), 196–200. [DOI] [PubMed] [Google Scholar]
  • 34.Vossen DL et al. (2004) Optical tweezers and confocal microscopy for simultaneous three-dimensional manipulation and imaging in concentrated colloidal dispersions. Review of Scientific Instruments 75 (9), 2960–2970. [Google Scholar]
  • 35.Chiran G and Peixuan G (2021) Optical tweezer and TIRF microscopy for single molecule manipulation of RNA/DNA nanostructures including their rubbery property and single molecule counting. Biophysics Reports, 1–26. [DOI] [PMC free article] [PubMed]
  • 36.Kong L et al. (2011) Characterization of bacterial spore germination using phase-contrast and fluorescence microscopy, Raman spectroscopy and optical tweezers. nature protocols 6 (5), 625–639. [DOI] [PubMed] [Google Scholar]
  • 37.Svoboda K et al. (1993) Direct observation of kinesin stepping by optical trapping interferometry. Nature 365 (6448), 721–727. [DOI] [PubMed] [Google Scholar]
  • 38.Simmert S et al. (2018) LED-based interference-reflection microscopy combined with optical tweezers for quantitative three-dimensional microtubule imaging. Optics express 26 (11), 14499–14513. [DOI] [PubMed] [Google Scholar]
  • 39.Heller I et al. (2013) STED nanoscopy combined with optical tweezers reveals protein dynamics on densely covered DNA. Nature methods 10 (9), 910–916. [DOI] [PubMed] [Google Scholar]
  • 40.Rivera M et al. (2020) Mechanical unfolding of a knotted protein unveils the kinetic and thermodynamic consequences of threading a polypeptide chain. Scientific reports 10 (1), 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Mehlich A et al. (2020) Slow Transition Path Times Reveal a Complex Folding Barrier in a Designed Protein. Frontiers in chemistry 8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Ganim Z and Rief M (2017) Mechanically switching single-molecule fluorescence of GFP by unfolding and refolding. Proceedings of the National Academy of Sciences 114 (42), 11052–11056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Hill CH et al. (2021) Structural and molecular basis for Cardiovirus 2A protein as a viral gene expression switch. BioRxiv, 2020.August. 11.245035. [DOI] [PMC free article] [PubMed]
  • 44.Wang H and Li H (2020) Mechanically tightening, untying and retying a protein trefoil knot by single-molecule force spectroscopy. Chemical science 11 (46), 12512–12521. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Jahn M et al. (2018) Folding and domain interactions of three orthologs of Hsp90 studied by single-molecule force spectroscopy. Structure 26 (1), 96–105. e4. [DOI] [PubMed] [Google Scholar]
  • 46.Chen Z et al. (2019) High-resolution and high-accuracy topographic and transcriptional maps of the nucleosome barrier. Elife 8, e48281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Lisica A et al. (2016) Mechanisms of backtrack recovery by RNA polymerases I and II. Proceedings of the National Academy of Sciences 113 (11), 2946–2951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Naranjo T et al. (2018) Dynamics of individual molecular shuttles under mechanical force. Nature communications 9 (1), 1–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Alshareedah I et al. (2021) Programmable viscoelasticity in protein-RNA condensates with disordered sticker-spacer polypeptides. bioRxiv [DOI] [PMC free article] [PubMed]
  • 50.Renger R et al. (2021) Co-condensation of proteins with single-and double-stranded DNA. bioRxiv [DOI] [PMC free article] [PubMed]
  • 51.Patrick EM et al. (2020) Observation of processive telomerase catalysis using high-resolution optical tweezers. Nature chemical biology 16 (7), 801–809. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Smestad J et al. (2020) Protein hyperacylation links mitochondrial dysfunction with nuclear organization
  • 53.Shimamoto Y et al. (2015) Measuring pushing and braking forces generated by ensembles of kinesin-5 crosslinking two microtubules. Developmental cell 34 (6), 669–681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Reinemann DN et al. (2017) Collective force regulation in anti-parallel microtubule gliding by dimeric Kif15 kinesin motors. Current Biology 27 (18), 2810–2820. e6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Lüdecke A et al. (2018) Diffusive tail anchorage determines velocity and force produced by kinesin-14 between crosslinked microtubules. Nature communications 9 (1), 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Fink G et al. (2009) The mitotic kinesin-14 Ncd drives directional microtubule–microtubule sliding. Nature cell biology 11 (6), 717–723. [DOI] [PubMed] [Google Scholar]
  • 57.Al Azzam O et al. (2021) Measuring force generation within reconstituted microtubule bundle assemblies using optical tweezers. Cytoskeleton 78 (3), 111–125. [DOI] [PubMed] [Google Scholar]
  • 58.Reinemann DN et al. (2018) Processive Kinesin-14 HSET exhibits directional flexibility depending on motor traffic. Current Biology 28 (14), 2356–2362. e5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Klemm AH et al. (2018) Metaphase kinetochore movements are regulated by kinesin-8 motors and microtubule dynamic instability. Molecular Biology of the Cell 29 (11), 1332–1345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Forer A et al. (2017) Elastic ‘tethers’ connect separating anaphase chromosomes in a broad range of animal cells. European journal of cell biology 96 (6), 504–514. [DOI] [PubMed] [Google Scholar]
  • 61.LaFountain JR Jr et al. (2002) Partner telomeres during anaphase in crane-fly spermatocytes are connected by an elastic tether that exerts a backward force and resists poleward motion. Journal of cell science 115 (7), 1541–1549. [DOI] [PubMed] [Google Scholar]
  • 62.Baumann C et al. (2007) PICH, a centromere-associated SNF2 family ATPase, is regulated by Plk1 and required for the spindle checkpoint. Cell 128 (1), 101–114. [DOI] [PubMed] [Google Scholar]
  • 63.Chan KL et al. (2007) BLM is required for faithful chromosome segregation and its localization defines a class of ultrafine anaphase bridges. The EMBO journal 26 (14), 3397–3409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Ono M et al. (2017) Mitotic tethers connect sister chromosomes and transmit “cross-polar” force during anaphase A of mitosis in PtK2 cells. Biomedical optics express 8 (10), 4310–4315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Sarlós K et al. (2018) Reconstitution of anaphase DNA bridge recognition and disjunction. Nature structural & molecular biology 25 (9), 868–876. [DOI] [PubMed] [Google Scholar]
  • 66.McIntosh JR et al. (2008) Fibrils connect microtubule tips with kinetochores: a mechanism to couple tubulin dynamics to chromosome motion. Cell 135 (2), 322–333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Tanaka K et al. (2007) Molecular mechanisms of microtubule-dependent kinetochore transport toward spindle poles. Journal of Cell Biology 178 (2), 269–281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Volkov VA et al. (2018) Multivalency of NDC80 in the outer kinetochore is essential to track shortening microtubules and generate forces. Elife 7, e36764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Kapitein LC et al. (2005) The bipolar mitotic kinesin Eg5 moves on both microtubules that it crosslinks. Nature 435 (7038), 114–118. [DOI] [PubMed] [Google Scholar]
  • 70.Sturgill EG et al. (2016) Kinesin-5 inhibitor resistance is driven by kinesin-12. Journal of Cell Biology 213 (2), 213–227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Sturgill EG and Ohi R (2013) Kinesin-12 differentially affects spindle assembly depending on its microtubule substrate. Current Biology 23 (14), 1280–1290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Welte MA et al. (1998) Developmental regulation of vesicle transport in Drosophila embryos: forces and kinetics. Cell 92 (4), 547–557. [DOI] [PubMed] [Google Scholar]
  • 73.Felgner H et al. (1997) In vivo manipulation of internal cell organelles. Methods in cell biology 55, 195–203. [DOI] [PubMed] [Google Scholar]
  • 74.Falleroni F et al. (2018) Cell mechanotransduction with piconewton forces applied by optical tweezers. Frontiers in cellular neuroscience 12, 130. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Paul A et al. (2019) Studying the rigidity of red blood cells induced by Plasmodium falciparum infection. Scientific reports 9 (1), 1–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Lee K et al. (2016) Characterization at the individual cell level and in whole blood samples of shear stress preventing red blood cells aggregation. Journal of biomechanics 49 (7), 1021–1026. [DOI] [PubMed] [Google Scholar]
  • 77.Nussenzveig HM (2018) Cell membrane biophysics with optical tweezers. European Biophysics Journal 47 (5), 499–514. [DOI] [PubMed] [Google Scholar]
  • 78.Yousafzai MS et al. (2017) Investigating the effect of cell substrate on cancer cell stiffness by optical tweezers. Journal of biomechanics 60, 266–269. [DOI] [PubMed] [Google Scholar]
  • 79.Ayala YA et al. (2017) Effects of cytoskeletal drugs on actin cortex elasticity. Experimental cell research 351 (2), 173–181. [DOI] [PubMed] [Google Scholar]
  • 80.Hurst S et al. (2021) Intracellular softening and fluidification reveals a mechanical switch of cytoskeletal material contributions during division. bioRxiv
  • 81.Han YL et al. (2018) Cell contraction induces long-ranged stress stiffening in the extracellular matrix. Proceedings of the National Academy of Sciences 115 (16), 4075–4080. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Li X et al. (2021) Optical tweezers study of membrane fluidity in small cell lung cancer cells. Optics Express 29 (8), 11976–11986. [DOI] [PubMed] [Google Scholar]
  • 83.Lu T and Anvari B (2020) Characterization of the Viscoelastic Properties of Ovarian Cancer Cells Membranes by Optical Tweezers and Quantitative Phase Imaging
  • 84.Hadjialirezaei S et al. (2017) Interactions between the breast cancer-associated MUC1 mucins and C-type lectin characterized by optical tweezers. PLoS One 12 (4), e0175323. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Mandal K et al. (2019) Role of a kinesin motor in cancer cell mechanics. Nano letters 19 (11), 7691–7702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Duś-Szachniewicz K et al. (2018) Physiological hypoxia (physioxia) impairs the early adhesion of single lymphoma cell to marrow stromal cell and extracellular matrix. Optical tweezers study. International journal of molecular sciences 19 (7), 1880. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Fang T et al. (2020) Single-Cell Multimodal Analytical Approach by Integrating Raman Optical Tweezers and RNA Sequencing. Analytical Chemistry 92 (15), 10433–10441. [DOI] [PubMed] [Google Scholar]
  • 88.Kung FH and Townes-Anderson E (2020) Creating Custom Neural Circuits on Multiple Electrode Arrays Utilizing Optical Tweezers for Precise Nerve Cell Placement. Methods and Protocols 3 (2), 44. [Google Scholar]
  • 89.Jing P et al. (2018) Optical tweezers system for live stem cell organization at the single-cell level. Biomedical optics express 9 (2), 771–779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Tewari Kumar P et al. (2020) Digital Microfluidics for Single Bacteria Capture and Selective Retrieval Using Optical Tweezers. Micromachines 11 (3), 308. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Zhu R et al. (2020) Optical tweezers in studies of red blood cells. Cells 9 (3), 545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Agrawal R et al. (2016) Assessment of red blood cell deformability in type 2 diabetes mellitus and diabetic retinopathy by dual optical tweezers stretching technique. Scientific reports 6 (1), 1–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Sheikh-Hasani V et al. (2018) Atorvastatin treatment softens human red blood cells: an optical tweezers study. Biomedical optics express 9 (3), 1256–1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Lee K et al. (2016) Optical tweezers study of red blood cell aggregation and disaggregation in plasma and protein solutions. Journal of biomedical optics 21 (3), 035001. [DOI] [PubMed] [Google Scholar]
  • 95.Avsievich T et al. (2019) Mutual interaction of red blood cells influenced by nanoparticles. Scientific reports 9 (1), 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Blázquez-Castro A (2019) Optical tweezers: phototoxicity and thermal stress in cells and biomolecules. Micromachines 10 (8), 507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Keloth A et al. (2018) Single cell isolation using optical tweezers. Micromachines 9 (9), 434. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Pilát Z et al. (2017) Effects of infrared optical trapping on saccharomyces cerevisiae in a microfluidic system. Sensors 17 (11), 2640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Català F et al. (2017) Influence of experimental parameters on the laser heating of an optical trap. Scientific reports 7 (1), 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Chowdhury A et al. (2018) Red blood cell membrane damage by light‐induced thermal gradient under optical trap. Journal of biophotonics 11 (8), e201700222. [DOI] [PubMed] [Google Scholar]
  • 101.Sun X et al. (2017) Cell-structure specific necrosis by optical-trap induced intracellular nuclear oscillation. Journal of the mechanical behavior of biomedical materials 66, 58–67. [DOI] [PubMed] [Google Scholar]
  • 102.Chowdhury S et al. (2013) Automated manipulation of biological cells using gripper formations controlled by optical tweezers. IEEE Transactions on Automation Science and Engineering 11 (2), 338–347. [Google Scholar]
  • 103.Mao H et al. (2005) Temperature control methods in a laser tweezers system. Biophysical journal 89 (2), 1308–1316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.del Rosal B et al. (2014) Flow effects in the laser-induced thermal loading of optical traps and optofluidic devices. Optics Express 22 (20), 23938–23954. [DOI] [PubMed] [Google Scholar]
  • 105.Landry MP et al. (2009) Characterization of photoactivated singlet oxygen damage in single-molecule optical trap experiments. Biophysical journal 97 (8), 2128–2136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 106.Anquez F et al. (2012) Cancerous cell death from sensitizer free photoactivation of singlet oxygen. Photochemistry and photobiology 88 (1), 167–174. [DOI] [PubMed] [Google Scholar]
  • 107.Cheng W et al. (2010) Use of tapered amplifier diode laser for biological-friendly high-resolution optical trapping. Optics letters 35 (17), 2988–2990. [DOI] [PubMed] [Google Scholar]
  • 108.Liu Y and Yu M (2017) Handbook of Photonics for Biomedical Engineering pp. 683–715.
  • 109.May MA et al. (2021) Fast holographic scattering compensation for deep tissue biological imaging. Nature Communications 12 (1), 1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Park J-H et al. (2018) Perspective: Wavefront shaping techniques for controlling multiple light scattering in biological tissues: Toward in vivo applications. APL photonics 3 (10), 100901. [Google Scholar]
  • 111.Turcotte R et al. (2017) Image-guided transplantation of single cells in the bone marrow of live animals. Scientific reports 7 (1), 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Meissner R et al. , Multimodal in vivo blood flow sensing combining particle image velocimetry and optical tweezers-based blood steering, Diagnostic and Therapeutic Applications of Light in Cardiology 2018, International Society for Optics and Photonics, 2018, p. 1047110.
  • 113.Favre-Bulle IA et al. (2017) Optical trapping of otoliths drives vestibular behaviours in larval zebrafish. Nature Communications 8 (1), 630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Favre-Bulle IA et al. (2018) Cellular-resolution imaging of vestibular processing across the larval zebrafish brain. Current Biology 28 (23), 3711–3722. e3. [DOI] [PubMed] [Google Scholar]
  • 115.Poulsen RE et al. (2021) Broad frequency sensitivity and complex neural coding in the larval zebrafish auditory system. Current Biology 31 (9), 1977–1987. e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Vanwalleghem G et al. (2017) A profile of auditory‐responsive neurons in the larval zebrafish brain. Journal of Comparative Neurology 525 (14), 3031–3043. [DOI] [PubMed] [Google Scholar]
  • 117.Sonar P et al. (2020) Effects of ligand binding on the energy landscape of acyl-CoA-binding protein. Biophysical Journal 119 (9), 1821–1832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Brower-Toland BD et al. (2002) Mechanical disruption of individual nucleosomes reveals a reversible multistage release of DNA. Proceedings of the National Academy of Sciences 99 (4), 1960–1965. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Darnton NC and Berg HC (2007) Force-extension measurements on bacterial flagella: triggering polymorphic transformations. Biophysical journal 92 (6), 2230–2236. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Heidarsson PO et al. (2013) Single-molecule folding mechanism of an EF-hand neuronal calcium sensor. Structure 21 (10), 1812–1821. [DOI] [PubMed] [Google Scholar]
  • 121.Sudhakar S et al. (2021) Germanium nanospheres for ultraresolution picotensiometry of kinesin motors. Science 371 (6530). [DOI] [PubMed] [Google Scholar]
  • 122.Berns MW (2020) Laser scissors and tweezers to study chromosomes: a review. Frontiers in Bioengineering and Biotechnology 8, 721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Pinato G et al. (2012) Less than 5 Netrin-1 molecules initiate attraction but 200 Sema3A molecules are necessary for repulsion. Scientific reports 2 (1), 1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Lenton IC et al. (2020) Orientation of swimming cells with annular beam optical tweezers. Optics Communications 459, 124864. [Google Scholar]
  • 125.Leite IT et al. (2018) Three-dimensional holographic optical manipulation through a high-numerical-aperture soft-glass multimode fibre. Nature Photonics 12 (1), 33–39. [Google Scholar]
  • 126.Ribeiro RSR et al. (2017) Fabrication of Fresnel plates on optical fibres by FIB milling for optical trapping, manipulation and detection of single cells. Scientific reports 7 (1), 1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Ti C et al. (2020) Reliable and mobile all-fiber modular optical tweezers. Scientific reports 10 (1), 1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Cojoc D et al. (2007) Properties of the force exerted by filopodia and lamellipodia and the involvement of cytoskeletal components. PloS one 2 (10), e1072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Clarke RJ et al. (2008) Cone and rod cells have different target preferences in vitro as revealed by optical tweezers. Molecular vision 14, 706. [PMC free article] [PubMed] [Google Scholar]
  • 130.Taylor MA et al. (2015) Enhanced optical trapping via structured scattering. Nature Photonics 9 (10), 669–673. [Google Scholar]
  • 131.Jones PH et al. (2015) Optical tweezers: Principles and applications, Cambridge University Press. [Google Scholar]
  • 132.Jiang J et al. (2020) Deep neural networks for the evaluation and design of photonic devices. Nature Reviews Materials, 1–22.
  • 133.Lenton IC et al. (2020) Machine learning reveals complex behaviours in optically trapped particles. Machine Learning: Science and Technology 1 (4), 045009. [Google Scholar]
  • 134.Favre-Bulle IA et al. (2015) Scattering of sculpted light in intact brain tissue, with implications for optogenetics. Scientific reports 5 (1), 1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 135.Vasquez-Lopez SA et al. (2018) Subcellular spatial resolution achieved for deep-brain imaging in vivo using a minimally invasive multimode fiber. Light: Science & Applications 7 (1), 1–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Plöschner M et al. (2014) GPU accelerated toolbox for real-time beam-shaping in multimode fibres. Optics express 22 (3), 2933–2947. [DOI] [PubMed] [Google Scholar]
  • 137.Lou Y et al. (2019) Optical trapping and manipulation using optical fibers. Advanced Fiber Materials 1 (2), 83–100. [Google Scholar]

RESOURCES