Skip to main content
Springer logoLink to Springer
. 2025 Feb 10;104(3):745–763. doi: 10.1007/s41745-024-00453-5

Size and Illumination Matters: Local Magnetic Actuation and Fluorescence Imaging for Microrobotics

Juan J Huaroto 1,, Sarthak Misra 1,2
PMCID: PMC12069155  PMID: 40370769

Abstract

Combining local magnetic actuation with fluorescence imaging modalities promises to introduce significant advances in microrobotic-guided procedures. This review presents the advantages and challenges of this approach, emphasizing the need for careful design considerations to optimize performance and compatibility. Traditional microrobotic actuation systems rely on bulky electromagnets, which are unsuitable for clinical use due to high power requirements and limited operational workspace. In contrast, miniaturized electromagnets can be integrated into surgical instruments, offering low power consumption and high actuation forces at the target site. Fluorescence imaging modalities have been explored in microrobotics, showcasing spatiotemporal resolution and the capability to provide information from biological entities. However, limitations, such as shallow penetration depth and out-of-focus fluorescence, have motivated the development of advanced techniques such as two-photon microscopy. The potential of two-photon microscopy to overcome these limitations is highlighted, with supporting evidence from previous studies on rat tissue samples. Current challenges in optical penetration depth, temporal resolution, and field of view are also addressed in this review. While integrating miniaturized electromagnets with fluorescence imaging modalities holds the potential for microrobotic-guided procedures, ongoing research and technological advancements are essential to translating this approach into clinical practice.

Keywords: Microrobotics, Surgical instruments, Miniaturized electromagnets, Fluorescence imaging, Two-photon microscopy.

Introduction

In recent years, the field of microrobotics has witnessed significant advancements driven by the demand for precise manipulation and imaging at the microscale15. Microrobots or micro-agents serve as essential tools for navigating through intricate media, facilitating applications across various domains, including targeted drug delivery6, cell manipulation7, and minimally invasive surgery8. With the ongoing progress in microrobotic fabrication and functionalization, efficient actuation methods and imaging modalities are crucial to unlocking novel applications and expanding the application domain toward clinically relevant scenarios.

Micro-agents can be engineered to respond to external stimuli such as magnetic fields911, acoustic waves1214, and light1517. In particular, magnetic actuation has emerged as a promising approach for propelling and maneuvering micro-agents in a contactless fashion18. Due to their transparency and biocompatibility, magnetic actuation has been utilized for micro-agent navigation in complex environments, achieving groundbreaking applications under ex vivo and in vivo conditions19. By leveraging magnetic fields and gradients, magnetic actuation systems allow precise control without needing onboard power sources or complex mechanical components. In the present-day context, several magnetic actuation platforms have emerged following the use of bulky structures assembled to permanent magnets, electromagnets, and robotic platforms2022. Motivated by the need to reduce the size and power consumption of magnetic systems, prior research has introduced the concept of local actuation via miniaturized magnets2329. Miniaturized magnets provide direct access to target regions due to their size and potential integration into surgical instruments for in situ actuation of micro-agents.

In parallel with advancements in magnetic actuation, visualizing and tracking micro-agents in real-time is essential for understanding their dynamics and validating their interaction with biological entities3033. Various imaging modalities have been proposed and adapted to visualize micro-agents to optimize spatiotemporal resolution, penetration depth, and the capability to obtain molecular information from living cells3436. Among non-ionizing standard modalities such as magnetic resonance, photoacoustics, and ultrasound, fluorescence-based imaging techniques provide a powerful means of monitoring micro-agents with a relatively high spatiotemporal resolution but limited penetration depth37,38. Fluorescence imaging is an appealing modality for visualizing micro-agents alongside biological entities, permitting the study of the response to external stimuli with remarkable sensitivity7,39,40. Advanced fluorescence modalities such as two-photon microscopy are available in the literature to overcome the limited penetration depth of traditional fluorescence imaging41. However, additional efforts are required to bridge the gap between two-photon microscopy and microrobotics42,43. Other techniques, using higher-order photon absorption (e.g., three-photon microscopy)44 and actively adjusting phase and amplitude of light wavefront (i.e., wavefront shaping)45, are promising for breaking the scattering limits of light in biological media. Nevertheless, the literature has not explored their integration into the microrobotics field.

The convergence of local magnetic actuation and fluorescence imaging in microrobotics presents an opportunity to unlock clinical advancements. The unique capabilities of fluorescence imaging can be used for precise micro-agent tracking while offering insights into biological environments. Moreover, miniaturized magnets facilitate their integration into minimally invasive surgical instruments, enabling in situ micro-agent control. Merging both technologies represents an advancement in microrobotics, accelerating progress in research and clinical applications.

Scope and Outline

This review presents the current progress on magnetic actuation and fluorescence-based imaging to control and monitor micro-agents. Throughout the review, we present the types of magnetic actuation systems, emphasizing miniaturized electromagnets for local actuation of micro-agents. We discuss the need for advanced imaging modalities to achieve micro-agent in-tissue control. We highlight the principles of fluorescence imaging, its application to the microrobotics field, and current challenges in minimally invasive surgery. By combining local magnetic actuation and fluorescence imaging, we seek to address fundamental challenges in microrobotics, including precise manipulation in confined spaces and tracking within biological environments.

The remainder part of the review is divided into four sections. First, we summarize the current magnetic actuation systems, introduce the concept of local actuation, and present the equations governing microrobotic actuation using miniaturized electromagnets integrated into two types of minimally invasive surgical instruments. Second, we introduce fluorescence imaging for microrobotics, discuss the limitations of traditional modalities, and propose advanced techniques, such as two-photon microscopy, to address these shortcomings. Third, we explore the integration of miniaturized electromagnets and two-photon microscopy to enable fluorescence-guided micro-agent manipulation. Finally, we summarize and discuss the concepts presented throughout the review.

Electromagnetic Actuation in Microrobotics

Background

Magnetic actuation has been studied to enable contactless manipulation of micro/milli-robotic structures and advanced catheters to access hard-to-reach regions of the human body9,21. In particular, the apparatus used in microrobotics has constantly evolved to address application-oriented requirements20,22,46,47. Permanent magnets and electromagnets are standard devices used in magnetic actuation systems to generate magnetic fields and gradients. Permanent magnets allow for the precise generation of magnetic fields at a defined distance from the magnet. However, the generation of time-varying magnetic fields is limited, necessitating robotic platforms to position or spin the permanent magnet with respect to a target region or workspace4853. Unlike permanent magnets, electromagnets or electromagnetic coils can generate magnetic fields and gradients by powering them with electrical currents. In electromagnetic actuation systems, electromagnets can be arranged in stationary mechanical structures5459 (Fig. 1A) and robotic structures5962 to span a desired workspace (Fig. 1B).

Figure 1:

Figure 1:

Electromagnetic systems located outside the human body: Traditional arrangements. A Electromagnets assembled in a fixed platform. B Electromagnets assembled at the end effector of a robotic platform.

In clinically relevant scenarios, electromagnetic systems are typically designed to be positioned externally, enabling non-invasive actuation of micro-agents inside the body. Traditional electromagnetic systems have successfully demonstrated medical applications using in vivo animal samples or human cadavers6366. However, these systems are accompanied by various challenges that must be addressed to advance their translation to clinical settings. The magnetic field required to propel micro-agents within vessels must overcome physiological fluids to reach a desired region67. In practice, addressing the generation of relatively high magnetic fields and gradients often involves increasing the electromagnet size, adjusting electrical currents, or adding additional electromagnets to the actuation system68. However, the power consumption and space limitations of surgical rooms slow down the standardization of electromagnetic systems for human trials.

Miniaturized Systems

A different approach to addressing the challenges of traditional electromagnetic systems for microrobotics involves the integration of miniaturized electromagnets into surgical instruments such as endoscopes25 and laparoscopy probes26 (Fig. 2). This integration offers the advantage of minimal invasiveness, making it a promising alternative in microsurgery where precise manipulation is required6. Compared with traditional electromagnetic systems, miniaturized electromagnets can significantly reduce power consumption (by three orders of magnitude) and provide direct access to biological workspaces while maintaining biologically compatible temperatures. Moreover, the magnetic field gradients near miniaturized electromagnets are comparable to the values registered at the workspace center of electromagnetic systems (Table 1).

Figure 2:

Figure 2:

Miniaturized electromagnets integrated into surgical instruments to perform local actuation of micro-agent. A Endoscope with miniaturized electromagnets deployed around a target region. B Laparoscopic instruments with integrated needle-shaped electromagnets. The trocars permit the manipulation of the instruments to span the surroundings of a target region. (C) Zoom in on the workspace showing magnetic micro-agents being pulled within a vasculature toward a target region.

Table 1.

Magnetic field ||B|| and gradient-to-field ratio ||B||||B|| of external and local electromagnetic actuation systems. Table adapted from28

Configuration Actuation
system
Moving
electromagnets
||B||
[mT]
||B||/||B||
[m-1]
External Open Configuration 57 No 15 35
Antiprism 55 No 30 40
OctoMag 54 No 30 25
Toroidal 69 No 50 5
Maxwell 70 No 100 15
BatMag 58 No 100 20
CGCI 68 No 100 8
Orthogonally Aligned 56 No 40 6
DeltaMag 62 Yes 23
BigMag 60 Yes 40 25
ARMM 61 Yes 80 7
Local MiniMag 71 No 20 100
MILiMAC 25 No 8 370
MagNeed 26 No 9 380
µMAZE 24 No 0.15 8000

Integrating miniaturized electromagnets into surgical instruments can revolutionize surgical procedures and introduce new treatments using magnetic micro-agents25,26. Previous studies have proposed such integration to provide basic functionalities, such as gripping small objects27,29. However, local actuation of micro-agents using miniaturized electromagnets presents challenges, requiring careful consideration of electric and thermal insulation. Additionally, unique strategies for the deployment and retrieval of miniaturized electromagnets need to be developed and tailored to surgical instruments.

For endoscopes, miniaturized electromagnets can be delivered through an internal channel and positioned around a target region using a deployment mechanism (Fig. 2A). This mechanism is deactivated when micro-agents reach a target region, permitting retrieval through the endoscope channel25. Typically, the deployment mechanism must be a small apparatus activated/deactivated using external stimuli such as mechanical force transmitted through cables72, magnetic fields73, or temperature gradients to trigger the shape memory effect of advanced materials74,75.

For laparoscopy probes, miniaturized electromagnets can be designed in the shape of needles to facilitate their assembly26. Unlike endoscopes, electromagnet deployment and retrieval are achieved using standard pivot points, such as trocars76. The advantage of using these pivots is that the spatial configuration of the probes can be actively modified to change the workspace configuration (Fig. 2B). Furthermore, laparoscopy probes with assembled electromagnets can be attached to robotic platforms to enable object avoidance and image-guided procedures77,78.

Fundamentals

In order to understand the local actuation of micro-agents using miniaturized electromagnets, we present the fundamentals of actuation through mathematical formulation. We utilize three miniaturized electromagnets throughout the analysis to achieve 3D manipulation79. However, the formulation can be extended to include more electromagnets, creating an overactuated system.

In general, the magnetic field generated by an electromagnet B(p,I) powered with an electrical current (IR) exerts a wrench (WR6) over a micro-agent with magnetic moment (μR3) located at a point (pR3). The magnetic wrench includes the magnetic force (FR3) and magnetic torque (TR3) and is defined as

W(p)=F(p)T(p)=(μ·B(p,I))μ×B(p,I). 1

Local frames {Nk}, fork= 1, 2, 3 are constructed for three miniaturized electromagnets with respect to a global reference frame {G} (Fig. 3). At a point, GpR3 in the global reference frame, the magnetic field GB(Gp) is the sum of the magnetic field generated by each electromagnet GBk(Gp). The unitary magnetic field Nkβk(Nkp) is generated in the local frame of the corresponding electromagnet. The miniaturized electromagnets operate in their linear regions (i.e., the magnitude and components of the magnetic field vary linearly with the current)80. Hence, the magnetic field in local frames is defined as

NkBk(Nkp)=Nkβk(Nkp)Ik, 2

Figure 3:

Figure 3:

Reference frames used to mathematically describe the actuation of a magnetic micro-agent located at point Gp. A Endoscope with integrated miniaturized electromagnets. B Laparoscopy instruments with integrated needle-shaped electromagnets. The local frames attached to each electromagnet {Nk}, fork= 1, 2, 3 are constructed with respect to the global frame {G}. The distances between local and global frames are NkG.

where IkR, is the current through the kth electromagnet. In order to compute the vectors GBk(Gp), we define the rotation matrices GRNkSO(3). This way, Nkp=NkRGGp+NkG, where NkGR3 are the distance vectors between local and global frames (Fig. 3). Hence, GBk(Gp) is computed as follows:

GBk(Gp)=GRNkNkβk(Nkp)Ik. 3

Substituting (3) into (1), we obtain the magnetic wrench GW(Gp) composed of force GF(Gp) and torque GT(Gp) exerted on a micro-agent located at Gp:

GF(Gp)=μTGβ1(Gp)xGβ3(Gp)xGβ1(Gp)yGβ3(Gp)yGβ1(Gp)zGβ3(Gp)zI1I2I3.GT(Gp)=μ×k=13GBk(Gp) 4

The presented formulation utilizes the spatial configuration of local frames {Nk} and the set of currents (Ik) as inputs to compute equations (2)–(4) in every actuation period. Considering the characteristics of instruments integrating miniaturized electromagnets, constraints can be applied to local frames to reduce computational complexity. In the case of an endoscope integrating such electromagnets, it is reasonable to assume that the deployment mechanism will fix the electromagnets around a target region. Consequently, local frames remain approximately stationary, and the magnetic field and gradients at point Gp are solely determined by the currents (Fig. 3A). For laparoscopy instruments integrating miniaturized electromagnets, the local frames can change their pose according to the instrument’s motion (Fig. 3B). Hence, rotation matrices GRNk and vector distances NkG are updated in every actuation period. In order to ensure accuracy and robustness and account for external disturbances, various algorithm schemes for micro-agent control can be implemented for miniaturized electromagnets81. Hence, the development of clinical imaging modalities is necessary to ensure the required feedback for precise manipulation of micro-agents.

Fluorescence Imaging for Microrobotics

Background

Visualization or imaging is essential in microrobotics because current sensor technology cannot be incorporated into micro-agents due to size limitations. Imaging modalities serve as external sensors to validate micro-agent functionalities and provide feedback during procedures. Recent research in the field of microrobotics underscores the significance of advanced methods in broadening the scope of microrobotics into clinically relevant scenarios8285. Microrobotics imaging requires three main components to detect and track micro-agents under in vivo conditions.

  • Spatiotemporal resolution and penetration depth: Imaging modalities in microrobotics must enable micrometer resolution, video-rate tracking, and sufficient penetration depths to achieve in-tissue visualization35. Generally, a trade-off exists between spatial resolution and penetration depth due to tissue scattering. Therefore, an optimal balance between spatiotemporal resolution and penetration depth is essential for in-tissue microrobotic imaging.

  • Molecular imaging: Visualization modalities must ensure the detection of micro-agents and the surrounding physical environment, including tissue and biological samples38. Studying living cells, biological processes, and tissue interacting with functionalized micro-agents requires addressing molecular imaging techniques36.

  • Non-ionizing modalities: Prolonged exposition to ionizing ration risks side effects on patients and clinicians86. Non-ionizing modalities can enable safe procedures using micro-agents.

Current imaging modalities for microrobotics partially address all three components. Various ionizing techniques such as X-ray computerized tomography65, positron emission tomography87, fluoroscopy88, and single-photon emission computed tomography89 have been proven under ex vivo and in vivo conditions. Yet, the risk of side effects from long-term exposure motivates the use of non-ionizing techniques. Among non-ionizing modalities, fluorescence imaging38, ultrasound31, magnetic resonance imaging90, photoacoustic imaging84,91, and magnetic particle imaging92 provide molecular information, revealing details about the interaction between micro-agents, biological entities, and living tissue. This review focuses on fluorescence imaging modalities and their application in microrobotics. Compared to other non-ionizing imaging techniques, the relatively high spatiotemporal resolution of fluorescence imaging makes it attractive for studying biological processes in clinical settings using microrobots35. However, a major limitation of fluorescence imaging is the restricted optical penetration depth caused by tissue scattering. Advanced fluorescence imaging modalities using high order absorption such as two- and three-photon microscopy93 and tuning the phase and amplitude of the light wavefront (i.e., wavefront shaping)94 represent state-of-the-art techniques for overcoming the scattering limits of tissue. Nonetheless, further efforts are required to integrate these techniques into the field of microrobotics.

Fluorescence

Fluorescence is a phenomenon in which a substance (fluorescent dye or fluorophore) absorbs electromagnetic radiation at one wavelength and then emits light at a longer wavelength95. This shift between wavelengths is called Stokes shift and represents the difference in wavelength between the maximum excitation (λex) and maximum emission (λem) of a fluorophore:

Stokes Shift=λex-λem. 5

In fluorescence, the emission occurs promptly after excitation, often within nanoseconds to microseconds96. This property distinguishes fluorescence from other types of photoluminescence, such as phosphorescence, where the emission persists for a longer duration after excitation. Spectrum analysis using spectrofluorometers provides intensity-wavelength plots to study the excitation and emission light characteristics of fluorophores97. The fluorescence quantum yield (Φ) measures the efficiency of a fluorophore to emit fluorescence upon excitation:

Φ=Number of photons emittedNumber of photons absorbed. 6

The value of Φ depends on the fluorophore and solvents utilized98. Besides, the intensity of emitted fluorescence light is proportional to the number of fluorophores in the sample and quantum yield.

Fluorescence is widely utilized in various fields, including biology, chemistry, and surgery, for diagnostics and microscopy applications99,100. Due to their specificity, sensitivity, and versatility, fluorophores are commonly employed to label biological samples, track molecular processes, and functionalize micro-agents40. In microscopy, the excitation light is focused onto the sample, and the emitted light is collected through lenses and a series of dichroic mirrors, which redirect the light for image formation through detectors (e.g., complementary metal-oxide semiconductor cameras and photomultipliers)93,101. Figure 4A depicts a fluorescent micro-agent emitting fluorescence with a wavelength of 600 nm under excitation by a continuous light source of 530 nm. The energy diagram, including ground and excited energy states, represents a fluorescence event in which a single photon at 530 nm is absorbed to generate one photon of emitted light at 600 nm. This energy representation corresponds to one-photon absorption and is the functioning principle of many fluorescence microscopes used in biology. Fluorescence imaging modalities are the gold standard for color-coded imaging using different fluorophores to label biological samples and micro-agents7,38. However, the limited optical penetration depth, scattering, and background noise reduce the capability of using conventional fluorescence microscopes to visualize micro-agent in-tissue.

Figure 4:

Figure 4:

Fluorescence imaging for shallow and deep tissue. A Conventional fluorescence imaging utilizes the principle of one-photon excitation (excitation light at 530 nm wavelength) to generate emission light at 600 nm wavelength. One-photon excitation can be used for shallow tissue as it is prone to background noise and scattering. B Two-photon microscopy is an advanced fluorescence imaging modality that uses the principle of two-photon excitation. As two photons are absorbed simultaneously, the excitation light is a femtosecond-pulsed laser with 1060 nm wavelength. By using near-infrared light, the light can penetrate tissue samples deeper. Besides, the two-photon excitation only occurs at the focal spot, eliminating the background noise.

Two-Photon Microscopy

An advanced fluorescence modality to overcome the limited penetration depth of fluorescence imaging techniques is two-photon microscopy41,102. Unlike conventional fluorescence microscopy, two-photon microscopy utilizes the simultaneous absorption of two lower-energy photons to excite fluorophores within a specimen (Fig. 4B). In two-photon microscopy, an ultrashort-pulsed laser emits near-infrared (NIR) light photons, typically within 700–1100 nanometers of wavelength. This longer wavelength light can penetrate deeper into biological tissues with minimal scattering and absorption, allowing imaging of thicker samples or even intact living organisms103.

When two photons of NIR light coincide in space and time, their combined energy excites a fluorophore to its higher energy state104. This excitation occurs only at the focal point of the microscope, where the intensity of the laser light is highest, resulting in precise spatial localization of fluorescence emission105,106. Because fluorescence is generated only at the focal point, out-of-focus fluorescence (i.e., background noise) is minimized, improving image contrast and resolution, especially in thick samples. Two-photon microscopy offers three essential advantages over traditional fluorescence microscopy techniques, including:

  • Deep tissue imaging: The longer wavelength of NIR light allows deeper penetration into biological specimens, enabling imaging of structures located several hundred micrometers below the tissue surface.

  • Reduced photodamage: Because fluorescence excitation occurs only at the focal point, photodamage to the specimen outside the focal plane is minimized, making two-photon microscopy suitable for imaging living tissues over extended periods without significant damage.

  • Increased image contrast and resolution: By minimizing out-of-focus fluorescence, two-photon microscopy provides improved image contrast and resolution, particularly in thick or densely labeled samples.

  • Fluorophore-free imaging: The ultrashort-pulsed laser used in two-photon microscopy can trigger autofluorescence and second-harmonic generation in biological tissue samples107. This way, fluorophore-free imaging is enabled, eliminating photobleaching effects associated with standard fluorophores108.

Two-photon microscopy is widely used in neuroscience, cell biology, and other fields where high-resolution imaging of living tissues or organisms is essential109,110. In addition, various endomicroscopy probes have been developed to diagnose and study cellular processes in freely behaving animals111. In microrobotics, the principle of two-photon absorption has mainly been used to fabricate sub-micrometer resolution structures such as lenses112, sensors113, micro-agents114, and metamaterials115. Two-photon microscopy recently garners attention using benchtop microscopes to visualize micro-agents through ex vivo and in vivo rat tissue42,43.

Open Challenges

Although fluorescence imaging can provide information from biological samples and tissue, the optical penetration depth remains a challenge due to tissue scattering. Two-photon microscopy has demonstrated clinical applications for diagnosis and revolutionized our understanding of biological processes by enabling the visualization of cellular dynamics and interactions with unprecedented detail93,116. However, the optical penetration depth cannot exceed hundreds of micrometers. Using three-photon absorption has opened up new avenues for imaging tissue at penetration depths on the order of 1 mm in brain tissue117,118. Increasing the order of photon absorption enables greater penetration depth due to the longer wavelength used to trigger fluorescence. However, additional challenges must be addressed, such as the limited field of view, temporal resolution, and chromatic dispersion111.

On the other hand, wavefront shaping offers an innovative approach to overcoming the scattering limits of tissue. This technique modifies the phase and amplitude of light, enabling deep focusing through scattering media up to tens of centimeters94,119121. The convergence of high-order photon absorption and wavefront shaping can alleviate the limited penetration depth of fluorescence microscopy. However, fluorescence collection at relatively high penetration depths is an open challenge due to the absorption probability of emitted photons in scattering media. A comprehensive study of the algorithms to reconstruct images from fluorescence-emitted light in deep tissue is required45,122.

Toward Fluorescence-Guided Manipulation

The convergence of surgical instruments integrating miniaturized electromagnets and fluorescence imaging modalities can improve the precision and efficiency of targeted drug delivery procedures via functionalized micro-agents. By overcoming physiological fluid flows and scattering, fluorescence-guided manipulation of magnetic micro-agents represents a groundbreaking approach to advancing the application of microrobotics in clinically relevant scenarios. Figure 5 depicts a tissue segment containing vasculature. The micro-agents previously perfused within the vasculature are actuated and visualized through tissue using miniature electromagnets and two-photon microscopy, respectively. Our previous study demonstrates this approach using formalin-fixed rat intestinal tissue (ileal wall)42. Figure 6A shows a close-up view of the experimental setup, including a miniaturized electromagnet26. Magnetic electrospun fibers stained with a fluorophore (Coumarin 6) are fabricated as the micro-agents used in the experiments38. Micro-agents are perfused within a microfluidic channel to visualize their interactions through two-photon microscopy. For comparison, we used two types of samples: a plain microfluidic channel (Fig. 6B) and a microfluidic channel containing a slice of rat tissue (thickness 600 µm) (Fig. 6C).

Figure 5:

Figure 5:

Illustration of fluorescence-guided manipulation of functionalized micro-agents. The magnetic micro-agents are within a vasculature transporting fluid flow. Miniaturized electromagnets are used to actuate micro-agents, while two-photon microscopy is used to obtain feedback. The excitation light (i.e., femtosecond-pulsed laser) penetrates tissue and vasculature to trigger emission light from fluorescent micro-agents. The magnetic field (B) generated by the electromagnets exerts a force (F) and torque (T) over the micro-agent.

Figure 6:

Figure 6:

Fluorescence-guided manipulation of micro-agents (magnetic electrospun fibers). A Experimental validation platform for two-photon image acquisition of micro-agents through rat tissue. The micro-agents are attached due to the electrostatic interaction. B Visualization of micro-agents within a microfluidic channel. The pink dashed circle indicates attachment due to electrostatic interaction. C Visualization of micro-agents through rat tissue. Figure adapted from42.

Using the first sample enables clear visualization of the orientation and motion of micro-agents in response to the magnetic field and gradients produced by the miniaturized electromagnet (Fig. 6B). The experiment utilizing formalin-fixed rat tissue intensifies scattering, augmenting the complexity of visualizing micro-agents. Despite the scattering challenges, our results show that two-photon microscopy facilitates the identification of morphology and tracking of micro-agents’ motion while enabling continuous image acquisition.

It is worth noting that the experiments were achieved using a relatively low frame acquisition rate (1 fps), which can limit the analysis of micro-agents moving at high dynamics. Previous in vivo studies demonstrate that micro-agents can move at relatively low velocities (< 10 µm/s) under magnetic guidance83,123. Furthermore, incorporating optical and optomechanical technologies, such as polygonal mirrors and resonant scanners coupled with optical fibers, can drastically improve the scan rate by compromising the spatial resolution116,124. On the other hand, the field of view used for image acquisition is 135 µm, which can be challenging for imaging bigger micro-agents. Visual servoing techniques can alleviate this shortcoming by moving the field of view according to the micro-agent motion125. Furthermore, a multimodal imaging approach can complement two-photon microscopy and provide additional information on the physical surroundings126.

Discussion

Integrating miniaturized electromagnets into surgical instruments for fluorescence-guided micro-agent manipulation represents a significant advancement in microrobotics. This approach can address the limitations of current electromagnetic systems, particularly in terms of power consumption and spatial constraints. The key strength of this approach is the potential for minimally invasive procedures (e.g., targeted drug delivery and microsurgery) using functionalized micro-agents. However, integrating miniaturized electromagnets into surgical instruments requires careful design and engineering to ensure optimal performance and compatibility. Factors such as electric and thermal insulation and deployment/retrieval mechanisms must be carefully considered to minimize the risk of complications during procedures.

We introduce fluorescence imaging modalities for magnetic micro-agent control, highlighting the micrometer resolution and the capability of obtaining feedback to study biological entities. Fluorescence imaging modalities permit color-coded image acquisition, which is appealing for visualization of micro-agents and physical surroundings without segmentation algorithms. The main drawbacks of conventional fluorescence modalities are the limited penetration depth (< 100 µm) and out-of-focus fluorescence (i.e., background noise).

Two-photon microscopy alleviates the current drawbacks of conventional fluorescence microscopy. However, several challenges remain to be addressed to realize this technology’s potential. One limitation is the penetration depth, which may be insufficient for specific applications when light needs to be focused through thick tissue samples (> 1 mm). Three-photon absorption can improve the penetration depth up to a few millimeters, but the tissue scattering limits the application for thicker samples. An alternative approach involves actively changing the phase and amplitude of the light wavefront (i.e., wavefront shaping). This technique can correct distortions caused by scattering, permitting light to focus through samples up to tens of centimeters. Yet, the triggered fluorescence risks being absorbed by the tissue, hindering its collection for image formation. This motivates the study of fluorescence acquisition in thick samples. Furthermore, the development of endomicroscopy probes integrating high-order photon absorption and wavefront shaping technology holds potential for in situ visualization of internal tissues (e.g., mucosa) where required penetration depths are in the order of a few millimeters.

Recognizing the potential of miniaturized electromagnets and two-photon microscopy, we present previous results for fluorescence-guided manipulation of functionalized micro-agents. The results of this synergy showcase the visualization through a rat tissue sample of 600 µm thick. However, further improvements are needed to overcome the scattering effects, relatively low-frame acquisition, and limited field of view. Multimodal imaging strategies, novel scanning techniques, visual servoing, and graphics processing unit parallel computing can optimize the current two-photon microscopy apparatus to be used along with surgical instruments.

Biographies

Juan J. Huaroto

received the bachelor’s degree in Mechanical Engineering from the National University of Engineering, Lima, Peru. He earned his master's degree with Highest Distinction in Robotics and Automation from Université Bourgogne Franche-Comté, Besançon, France, in 2021. During the master’s studies, he conducted research at the Département Automatique et Systèmes Micro-Mécatroniques (AS2M), FEMTO-ST Institute (CNRS), Besançon, France. He subsequently received the Erasmus+ and ISITE-BFC Excellence mobility scholarships to undertake a research internship at the Transfers, Interfaces & Processes (TIPs) Laboratory, Université Libre de Bruxelles, Brussels, Belgium. He is currently pursuing a doctoral degree with the Surgical Robotics Laboratory at the University of Twente, The Netherlands. His research focuses on the development of advanced probes for actuation and imaging of microrobots. graphic file with name 41745_2024_453_Figa_HTML.jpg

Sarthak Misra

received the master’s degree in mechanical engineering from McGill University, Canada, and the Ph.D. degree in mechanical engineering from Johns Hopkins University, USA, in 2009. He is currently a Full Professor with the Department of Biomechanical Engineering, University of Twente, Enschede, The Netherlands, and also affiliated with the Department of Biomaterials and Biomedical Technology, University of Groningen and University Medical Centre Groningen, The Netherlands. Prior to commencing his Ph.D. studies, he was a Dynamics and Controls Analyst on the International Space Station Program. His research interests include surgical robotics and medical microrobotics. He was a recipient of the European Research Council Starting, Proof-of-Concept, and Consolidator Grants and the Netherlands Organization for Scientific Research VENI and VIDI Awards. He was the Co-Chair of the Robotics and Automation Society Technical Committee on Surgical Robotics and the International Federation of Automatic Control Technical Committee on Biological and Medical Systems. graphic file with name 41745_2024_453_Figb_HTML.jpg

Author Contributions

J.H. took the lead in writing the manuscript with contributions from S.M. The authors thoroughly reviewed the manuscript and actively participated in discussions regarding the design of the manuscript. S.M. secured the funding for the project and provided supervision throughout its course.

Funding

This work is supported by the European Research Council (ERC) under the European Union’s Horizon 2020 Research and Innovation programme under Grant #866494 (project-MAESTRO).

Data availability

This is a review article, and no new data were generated or analyzed. All data discussed in this article are cited and accessible from the original publications referenced herein.

Declarations

Ethical Approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interest

The Authors declare that there is no Conflict of interest.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Sitti M, Ceylan H, Wenqi H, Giltinan J, Turan M, Yim S, Diller E (2015) Biomedical applications of untethered mobile milli/microrobots. Proc IEEE 103(2):205–224 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Nelson BJ, Kaliakatsos IK, Abbott JJ (2010) Microrobots for minimally invasive medicine. Annu Rev Biomed Eng 12:55–85 [DOI] [PubMed] [Google Scholar]
  • 3.Ceylan H, Yasa IC, Kilic U, Wenqi H, Sitti M (2019) Translational prospects of untethered medical microrobots. Progr Biomed Eng 1(1):012002 [Google Scholar]
  • 4.Nelson BJ, Gervasoni S, Chiu PWY, Zhang L, Zemmar A (2022) Magnetically actuated medical robots: an in vivo perspective. Proc IEEE 110(7):1028–1037 [Google Scholar]
  • 5.Keuning JD, de Vriesy J, Abelmanny L, Misra S (2011) Image-based magnetic control of paramagnetic microparticles in water. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems pp 421–426
  • 6.Ornes S (2017) Medical microrobots have potential in surgery, therapy, imaging, and diagnostics. Proc Natl Acad Sci 114(47):12356–12358 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Steager EB, Sakar MS, Magee C, Kennedy M, Cowley A, Kumar V (2013) Automated biomanipulation of single cells using magnetic microrobots. Int J Robot Res 32(3):346–359 [Google Scholar]
  • 8.Wang Y, Shen J, Handschuh-Wang S, Qiu M, Du S, Ben W (2022) Microrobots for targeted delivery and therapy in digestive system. ACS Nano 8:8 [DOI] [PubMed] [Google Scholar]
  • 9.Abbott JJ, Diller E, Petruska AJ (2020) Magnetic methods in robotics. Annu Rev Control Robot Auton Syst 3(1):57–90 [Google Scholar]
  • 10.Ebrahimi N, Bi C, Cappelleri DJ, Ciuti G, Conn AT, Faivre D, Habibi N, Hošovskỳ A, Iacovacci V, Khalil ISM et al (2021) Magnetic actuation methods in bio/soft robotics. Adv Func Mater 31(11):2005137 [Google Scholar]
  • 11.Wang M, Wu T, Liu R, Zhang Z, Jun L (2023) Selective and independent control of microrobots in a magnetic field: a review. Engineering 8:8 [Google Scholar]
  • 12.Aghakhani A, Yasa O, Wrede P, Sitti M (2020) Acoustically powered surface-slipping mobile microrobots. Proc Natl Acad Sci 117(7):3469–3477 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kaynak M, Dirix P, Sakar MS (2020) Addressable acoustic actuation of 3d printed soft robotic microsystems. Adv Sci 7(20):2001120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Mohanty S, Lin Y-H, Paul A, van den Broek MRP, Segers T, Misra S (2024) Acoustically actuated flow in microrobots powered by axisymmetric resonant bubbles. Adv Intell Syst 6(1):2300465 [Google Scholar]
  • 15.Bunea A-I, Glückstad J (2019) Strategies for optical trapping in biological samples: aiming at microrobotic surgeons. Laser Photon Rev 13(4):1800227 [Google Scholar]
  • 16.Li D, Liu C, Yang Y, Wang L, Shen Y (2020) Micro-rocket robot with all-optic actuating and tracking in blood. Light Sci Appl 9(1):84 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Zhang S, Nan F, Neale Steven L (2022) Light-driven microrobots: mechanisms and applications. Field-Driven Micro Nanorobots Biol Med 8:91–111 [Google Scholar]
  • 18.Longchen W, Zheying M, Chen Y, Yuanyi Z (2021) Engineering magnetic micro/nanorobots for versatile biomedical applications. Adv Intell Syst 3(7):2000267 [Google Scholar]
  • 19.Sitti M, Wiersma DS (2020) Pros and cons: magnetic versus optical microrobots. Adv Mater 32(20):1906766 [DOI] [PubMed] [Google Scholar]
  • 20.Tiantian X, Jiangfan Y, Yan X, Choi H, Zhang L (2015) Magnetic actuation based motion control for microrobots: an overview. Micromachines 6(9):1346–1364 [Google Scholar]
  • 21.Heunis C, Sikorski J, Misra S (2018) Flexible instruments for endovascular interventions: improved magnetic steering, actuation, and image-guided surgical instruments. IEEE Robot Autom Mag 25(3):71–82 [Google Scholar]
  • 22.Chen R, Folio D, Ferreira A (2022) Analysis and comparison of electromagnetic microrobotic platforms for biomedical applications. Appl Sci 12(1):456 [Google Scholar]
  • 23.Matthews BD, LaVan DA, Overby DR, Karavitis J, Ingber DE (2004) Electromagnetic needles with submicron pole tip radii for nanomanipulation of biomolecules and living cells. Appl Phys Lett 85(14):2968–2970 [Google Scholar]
  • 24.Johnson BV, Esantsi N, Cappelleri DJ (2020) Design of the Inline graphicMAZE platform and microrobots for independent control and micromanipulation tasks. IEEE Robot Autom Lett 5(4):5677–5684 [Google Scholar]
  • 25.Sikorski J, Mohanty S, Misra S (2020) MILiMAC: Flexible catheter with miniaturized electromagnets as a small-footprint system for microrobotic tasks. IEEE Robot Autom Lett 5(4):5260–5267 [Google Scholar]
  • 26.Huaroto JJ, Richter M, Malafaia M, Kim J, Kim C-S, Park J-O, Sikorski J, Misra S (2023) Magneed—needle-shaped electromagnets for localized actuation within compact workspaces. IEEE Robot Autom Lett 8(6):3908–3915 [Google Scholar]
  • 27.Richter M, Sikorski J, Makushko P, Zabila Y, Venkiteswaran VK, Makarov D, Misra S (2023) Locally addressable energy efficient actuation of magnetic soft actuator array systems. Adv Sci 10(24):2302077 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Piñan Basualdo Franco N, van de Weerd RGJ, Sarthak M (2024) Tunable magnetic trap: Using passive elements to control magnetic microrobots. IEEE Robot Autom Lett 9(2):1788–1794 [Google Scholar]
  • 29.Lukas M, Michiel R, Pavlo M, Denys M, Sarthak M (2024) Miniaturized variable stiffness gripper locally actuated by magnetic fields. Adv Intell Syst 8:2400037 [Google Scholar]
  • 30.Nguyen KT, Go G, Jin Z, Darmawan BA, Yoo A, Kim S, Nan M, Lee SB, Kang B, Kim C-S et al (2021) A magnetically guided self-rolled microrobot for targeted drug delivery, real-time x-ray imaging, and microrobot retrieval. Adv Healthcare Mater 10(6):2001681 [DOI] [PubMed] [Google Scholar]
  • 31.Pane S, Iacovacci V, Sinibaldi E, Menciassi A (2021) Real-time imaging and tracking of microrobots in tissues using ultrasound phase analysis. Appl Phys Lett 118(1):014102 [Google Scholar]
  • 32.Šuligoj F, Heunis CM, Mohanty S, Misra S (2022) Intravascular tracking of micro-agents using medical ultrasound: towards clinical applications. IEEE Trans Biomed Eng 69(12):3739–3747 [DOI] [PubMed] [Google Scholar]
  • 33.Pane S, Faoro G, Sinibaldi E, Iacovacci V, Menciassi A (2022) Ultrasound acoustic phase analysis enables robotic visual-servoing of magnetic microrobots. IEEE Trans Rob 38(3):1571–1582 [Google Scholar]
  • 34.Pané S, Puigmartí-Luis J, Bergeles C, Chen X-Z, Pellicer E, Sort J, Počepcová V, Ferreira A, Nelson BJ (2019) Imaging technologies for biomedical micro-and nanoswimmers. Adv Mater Technol 4(4):1800575 [Google Scholar]
  • 35.Aziz A, Pane S, Iacovacci V, Koukourakis N, Czarske J, Menciassi A, Medina-Sánchez M, Schmidt OG (2020) Medical imaging of microrobots: toward in vivo applications. ACS Nano 14(9):10865–10893 [DOI] [PubMed] [Google Scholar]
  • 36.Chen L, Lyu Y, Zhang X, Zheng L, Li Q, Ding D, Chen F, Liu Y, Li W, Zhang Y et al (2023) Molecular imaging: design mechanism and bioapplications. Sci China Chem 66(5):1336–1383 [Google Scholar]
  • 37.Yang L, Zhang Y, Wang Q, Chan K-F, Zhang L (2019) Automated control of magnetic spore-based microrobot using fluorescence imaging for targeted delivery with cellular resolution. IEEE Trans Autom Sci Eng 17(1):490–501 [Google Scholar]
  • 38.Kaya M, Stein F, Padmanaban P, Zhang Z, Rouwkema J, Khalil ISM, Misra S (2022) Visualization of micro-agents and surroundings by real-time multicolor fluorescence microscopy. Sci Rep 12(1):1–17 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Li J, Li X, Luo T, Wang R, Liu C, Chen S, Li D, Yue J, Cheng S, Sun DJSR (2018) Development of a magnetic microrobot for carrying and delivering targeted cells. Sci Robot 3(19):eaat8829 [DOI] [PubMed] [Google Scholar]
  • 40.Kaya M, Stein F, Rouwkema J, Khalil ISM, Misra S (2021) Serial imaging of micro-agents and cancer cell spheroids in a microfluidic channel using multicolor fluorescence microscopy. PLoS ONE 16(6):e0253222 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Helmchen F, Denk W (2005) Deep tissue two-photon microscopy. Nat Methods 2(12):932–940 [DOI] [PubMed] [Google Scholar]
  • 42.Huaroto JJ, Capuano L, Kaya M, Hlukhau I, Assayag F, Mohanty S, Römer G, Misra S (2023) Two-photon microscopy for microrobotics: Visualization of micro-agents below fixed tissue. PLoS ONE 18(8):e0289725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Del Campo A, Fonseca CG, Droux J, Ferry Y, Frei C, Wegener S, Weber B, El Amki M, Ahmed D (2023) Ultrasound trapping and navigation of microrobots in the mouse brain vasculature. Nat Commun 14(1):5889 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Yildirim M, Sugihara H, So PTC, Sur M (2019) Functional imaging of visual cortical layers and subplate in awake mice with optimized three-photon microscopy. Nat Commun 10(1):177 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Horstmeyer R, Ruan H, Yang C (2015) Guidestar-assisted wavefront-shaping methods for focusing light into biological tissue. Nat Photon 9(9):563–571 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Adam G, Chowdhury S, Guix M, Benjamin VJ, Chenghao B, David C (2019) Towards functional mobile microrobotic systems. Robotics 8(3):69 [Google Scholar]
  • 47.Shao Y, Fahmy A, Li M, Li C, Zhao W, Sienz J (2021) Study on magnetic control systems of micro-robots. Front Neurosci 15:736730 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Carpi F, Pappone C (2009) Stereotaxis niobe® magnetic navigation system for endocardial catheter ablation and gastrointestinal capsule endoscopy. Expert Rev Med Devices 6(5):487–498 [DOI] [PubMed] [Google Scholar]
  • 49.Ciuti G, Valdastri P, Menciassi A, Dario P (2010) Robotic magnetic steering and locomotion of capsule endoscope for diagnostic and surgical endoluminal procedures. Robotica 28(2):199–207 [Google Scholar]
  • 50.Ryan P, Diller E (2017) Magnetic actuation for full dexterity microrobotic control using rotating permanent magnets. IEEE Trans Rob 33(6):1398–1409 [Google Scholar]
  • 51.Kim Y, Parada GA, Liu S, Zhao X (2019) Ferromagnetic soft continuum robots. Sci Robot 4(33):eaax7329 [DOI] [PubMed] [Google Scholar]
  • 52.Avaneesh R, Venezian R, Kim C-S, Park J-O, Misra S, Khalil ISM (2021) Open-loop magnetic actuation of helical robots using position-constrained rotating dipole field. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 8545–8550
  • 53.Chathuranga D, Lloyd P, Chandler JH, Harris RA, Valdastri P (2023) Assisted magnetic soft continuum robot navigation via rotating magnetic fields. IEEE Robot Autom Lett 9(1):183–190 [Google Scholar]
  • 54.Kummer MP, Abbott JJ, Kratochvil BE, Borer R, Sengul A, Nelson BJ (2010) Octomag: An electromagnetic system for 5-dof wireless micromanipulation. IEEE Trans Robot 26(6):1006–1017 [Google Scholar]
  • 55.Diller E, Giltinan J, Lum GZ, Ye Z, Sitti M (2016) Six-degree-of-freedom magnetic actuation for wireless microrobotics. Int J Robot Res 35(1–3):114–128 [Google Scholar]
  • 56.Niu F, Li J, Ma W, Yang J, Sun D (2017) Development of an enhanced electromagnetic actuation system with enlarged workspace. IEEE/ASME Trans Mechatron 22(5):2265–2276 [Google Scholar]
  • 57.Salmanipour S, Diller E (2018) Eight-degrees-of-freedom remote actuation of small magnetic mechanisms. In: 2018 IEEE international conference on robotics and automation (ICRA), pages 3608–3613. IEEE
  • 58.Ongaro F, Pane S, Scheggi S, Misra S (2019) Design of an electromagnetic setup for independent three-dimensional control of pairs of identical and nonidentical microrobots. IEEE Trans Robot 35(1):174–183 [Google Scholar]
  • 59.Nguyen KT, Lee H-S, Kim J, Choi E, Park J-O, Kim C-S (2022) A composite electro-permanent magnetic actuator for microrobot manipulation. Int J Mech Sci 229:107516 [Google Scholar]
  • 60.Sikorski J, Dawson I, Denasi A, Hekman EEG, Misra S (2017) Introducing bigmag-a novel system for 3d magnetic actuation of flexible surgical manipulators. In: 2017 IEEE International Conference on Robotics and Automation (ICRA), pages 3594–3599. IEEE
  • 61.Sikorski J, Heunis CM, Franco F, Misra S (2019) The ARMM system: an optimized mobile electromagnetic coil for non-linear actuation of flexible surgical instruments. IEEE Trans Magn 55(9):1–9 [Google Scholar]
  • 62.Yang L, Du X, Yu E, Jin D, Zhang L (2019) Deltamag: an electromagnetic manipulation system with parallel mobile coils. In: 2019 International Conference on Robotics and Automation (ICRA), pages 9814–9820
  • 63.Chatzipirpiridis G, Ergeneman O, Pokki J, Ullrich F, Fusco S, Ortega JA, Sivaraman KM, Nelson BJ, Pané S (2015) Electroforming of implantable tubular magnetic microrobots for wireless ophthalmologic applications. Adv Healthcare Mater 4(2):209–214 [DOI] [PubMed] [Google Scholar]
  • 64.Go G, Jeong S-G, Yoo A, Han J, Kang B, Kim S, Nguyen KT, Jin Z, Chang-Sei Kim Yu, Seo R et al (2020) Human adipose-derived mesenchymal stem cell-based medical microrobot system for knee cartilage regeneration in vivo. Sci Robot 5(38):eaay6626 [DOI] [PubMed] [Google Scholar]
  • 65.Go G, Yoo A, Nguyen KT, Nan M, Darmawan BA, Zheng S, Kang B, Kim C-S, Bang D, Lee S, Kim K-P, Kang SS, Shim KM, Kim SE, Bang S, Kim D-H, Park J-O, Choi E (2022) Multifunctional microrobot with real-time visualization and magnetic resonance imaging for chemoembolization therapy of liver cancer. Sci Adv 8(46):eabq8545 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Yue Dong L, Wang ZZ, Ji F, Chan TKF, Yang H, Chan CPL, Yang Z, Chen Z, Chang WT et al (2022) Endoscope-assisted magnetic helical micromachine delivery for biofilm eradication in tympanostomy tube. Sci Adv 8(40):eabq8573 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Ben W, Fung CK, Ke Y, Qianqian W, Xianfeng X, Lidong Y, Ho K, Wang Y-XJ, Joseph JYS, Philip WYC et al (2021) Endoscopy-assisted magnetic navigation of biohybrid soft microrobots with rapid endoluminal delivery and imaging. Sci Robot 6(52):2813 [DOI] [PubMed] [Google Scholar]
  • 68.Gang Eli S, Lien NB, Yehoshua S, Leslie F, Laszlo F, Bruce M, David J, Fishbein MC, Carlo G, Kim SJ (2011) Dynamically shaped magnetic fields: initial animal validation of a new remote electrophysiology catheter guidance and control system. Circul Arrhythmia Electrophysiol 4(5):770–777 [DOI] [PubMed] [Google Scholar]
  • 69.Lucarini G, Mura M, Ciuti G, Rizzo R, Menciassi A (2015) Electromagnetic control system for capsule navigation: Novel concept for magnetic capsule maneuvering and preliminary study. J Med Biol Eng 35:428–436 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Hoang MC, Nguyen KT, Le VH, Kim J, Choi E, Kang B, Park J-O, Kim C-S (2019) Independent electromagnetic field control for practical approach to actively locomotive wireless capsule endoscope. IEEE Trans Syst Man Cybern Syst 51(5):3040–3052 [Google Scholar]
  • 71.Kratochvil BE, Kummer MP, Erni S, Borer R, Frutiger DR, Schürle S, Nelson BJ (2014) Minimag: a hemispherical electromagnetic system for 5-dof wireless micromanipulation. In Experimental Robotics: The 12th International Symposium on Experimental Robotics, pages 317–329. Springer
  • 72.Wang Y, Cao Q, Zhu X, Wang P (2021) A cable-driven distal end-effector mechanism for single-port robotic surgery. Int J Comput Assist Radiol Surg 16:301–309 [DOI] [PubMed] [Google Scholar]
  • 73.Ze Q, Shuai W, Nishikawa J, Dai J, Sun Y, Leanza S, Zemelka C, Novelino LS, Paulino GH, Zhao RR (2022) Soft robotic origami crawler. Sci Adv 8(13):eabm7834 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Mattmann M, Boehler Q, Chen XZ, Pané S, Nelson BJ (2022) Shape memory polymer variable stiffness magnetic catheters with hybrid stiffness control. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 9589–9595. IEEE
  • 75.Thomas TL, Bos J, Huaroto JJ, Venkiteswaran VK, Misra S (2024) A magnetically actuated variable stiffness manipulator based on deployable shape memory polymer springs. Adv Intell Syst 6(2):2200465 [Google Scholar]
  • 76.Neto JS, Siufi DFS, Magrina JF (2016) Trocar in conventional laparoscopic and robotic-assisted surgery as a major cause of iatrogenic trauma to the patient. Best Pract Res Clin Obstetr Gynaecol 35:13–19 [DOI] [PubMed] [Google Scholar]
  • 77.Huu VV, Dang QNV, Minh TDD, Van Truong L (2021) Robotic video-assisted thoracoscopic surgery using multiport triangular trocar configuration: initial experience at a single center. J Cardiothor Surg 16:1–9 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Sanchez JH, Amanhoud W, Billard A, Bouri M (2023) Enabling four-arm laparoscopic surgery by controlling two robotic assistants via haptic foot interfaces. Int J Robot Res 42(7):475–503 [Google Scholar]
  • 79.Petruska AJ, Nelson BJ (2015) Minimum bounds on the number of electromagnets required for remote magnetic manipulation. IEEE Trans Robot 31(3):714–722 [Google Scholar]
  • 80.Petruska AJ, Edelmann J, Nelson BJ (2017) Model-based calibration for magnetic manipulation. IEEE Trans Magn 53(7):1–6 [Google Scholar]
  • 81.Jiang J, Yang Z, Ferreira A, Zhang L (2022) Control and autonomy of microrobots: Recent progress and perspective. Adv Intell Syst 4(5):2100279 [Google Scholar]
  • 82.Bunea A-I, Taboryski R (2020) Recent advances in microswimmers for biomedical applications. Micromachines 11(12):1048 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Wrede P, Degtyaruk O, Kalva SK, Deán-Ben XL, Bozuyuk U, Aghakhani A, Akolpoglu B, Sitti M, Razansky D (2022) Real-time 3d optoacoustic tracking of cell-sized magnetic microrobots circulating in the mouse brain vasculature. Sci Adv 8(19):eabm9132 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Aziz A, Nauber R, Iglesias AS, Tang M, Ma L, Liz-Marzán LM, Schmidt OG, Medina-Sánchez M (2023) Nanomaterial-decorated micromotors for enhanced photoacoustic imaging. J Micro Bio Robot 19(1):37–45 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Nauber R, Goudu SR, Goeckenjan M, Bornhäuser M, Ribeiro C, Medina-Sánchez M (2023) Medical microrobots in reproductive medicine from the bench to the clinic. Nat Commun 14(1):728 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Hany Kasban MAM, El-Bendary DHS (2015) A comparative study of medical imaging techniques. Int J Inf Sci Intell Syst 4(2):37–58 [Google Scholar]
  • 87.Vilela D, Cossío U, Parmar J, Martínez-Villacorta AM, Gómez-Vallejo V, Llop J, Sánchez S (2018) Medical imaging for the tracking of micromotors. ACS Nano 12(2):1220–1227 [DOI] [PubMed] [Google Scholar]
  • 88.Yang X, Shang W, Haojian L, Liu Y, Yang L, Tan R, Xinyu W, Shen Y (2020) An agglutinate magnetic spray transforms inanimate objects into millirobots for biomedical applications. Sci Robot 5(48):eabc8191 [DOI] [PubMed] [Google Scholar]
  • 89.Iacovacci V, Blanc A, Huang H, Ricotti L, Schibli R, Menciassi A, Behe M, Pané S, Nelson BJ (2019) High-resolution spect imaging of stimuli-responsive soft microrobots. Small 15(34):1900709 [DOI] [PubMed] [Google Scholar]
  • 90.Martel S, Felfoul O, Mathieu J-B, Chanu A, Tamaz S, Mohammadi M, Mankiewicz M, Tabatabaei N (2009) Mri-based medical nanorobotic platform for the control of magnetic nanoparticles and flagellated bacteria for target interventions in human capillaries. Int J Robot Res 28(9):1169–1182 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Zhiguang W, Li L, Yang Y, Peng H, Li Y, Yang S-Y, Wang LV, Gao W (2019) A microrobotic system guided by photoacoustic computed tomography for targeted navigation in intestines in vivo. Sci Robot 4(32):eaax0613 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Saritas EU, Goodwill PW, Croft LR, Konkle JJ, Kuan L, Zheng B, Conolly SM (2013) Magnetic particle imaging (mpi) for nmr and mri researchers. J Magn Reson 229:116–126 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Abdeladim L, Matho KS, Clavreul S, Mahou P, Sintes J-M, Solinas X, Arganda-Carreras I, Turney SG, Lichtman JW, Chessel A et al (2019) Multicolor multiscale brain imaging with chromatic multiphoton serial microscopy. Nat Commun 10(1):1–14 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 94.Shen Y, Liu Y, Ma C, Wang LV (2016) Focusing light through biological tissue and tissue-mimicking phantoms up to 9.6 cm in thickness with digital optical phase conjugation. J Biomed Opt 21(8):085001–085001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Lichtman JW, Conchello J-A (2005) Fluorescence microscopy. Nat Methods 2(12):910–919 [DOI] [PubMed] [Google Scholar]
  • 96.Yang M, Guo X, Mou F, Guan J (2022) Lighting up micro-/nanorobots with fluorescence. Chem Rev 123(7):3944–3975 [DOI] [PubMed] [Google Scholar]
  • 97.Sednev MV, Belov VN, Hell SW (2015) Fluorescent dyes with large stokes shifts for super-resolution optical microscopy of biological objects: a review. Methods Appl Fluoresc 3(4):042004 [DOI] [PubMed] [Google Scholar]
  • 98.Velapoldi RA, Tønnesen HH (2004) Corrected emission spectra and quantum yields for a series of fluorescent compounds in the visible spectral region. J Fluoresc 14:465–472 [DOI] [PubMed] [Google Scholar]
  • 99.Ntziachristos V (2006) Fluorescence molecular imaging. Annu Rev Biomed Eng 8:1–33 [DOI] [PubMed] [Google Scholar]
  • 100.Nagaya T, Nakamura YA, Choyke PL, Kobayashi H (2017) Fluorescence-guided surgery. Front Oncol 7:314 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Cang H, Yang L, Jianhua X (2024) Mosaic-picasso: accurate crosstalk removal for multiplex fluorescence imaging. Bioinformatics 2:784 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Oheim M, Beaurepaire E, Chaigneau E, Mertz J, Charpak S (2001) Two-photon microscopy in brain tissue: parameters influencing the imaging depth. J Neurosci Methods 111(1):29–37 [DOI] [PubMed] [Google Scholar]
  • 103.Luu P, Fraser SE, Schneider F (2024) More than double the fun with two-photon excitation microscopy. Commun Biol 7(1):364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.König K (2000) Multiphoton microscopy in life sciences. J Microsc 200(2):83–104 [DOI] [PubMed] [Google Scholar]
  • 105.Koenig K, Riemann I (2003) High-resolution multiphoton tomography of human skin with subcellular spatial resolution and picosecond time resolution. J Biomed Opt 8(3):432–439 [DOI] [PubMed] [Google Scholar]
  • 106.Carriles R, Schafer DN, Sheetz KE, Field JJ, Cisek R, Barzda V, Sylvester AW, Squier JA (2009) Invited review article: Imaging techniques for harmonic and multiphoton absorption fluorescence microscopy. Rev Sci Instrum 80(8):081101 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107.Zheng SW, Rachel ZCT, Yin OL, Benjamin YSG, Jirong L, Anantharaman V, Paulraj TT, Yee TH (2022) Multi-photon microscopy for the evaluation of interstitial fibrosis in extended criteria donor kidneys: a proof-of-concept study. Clin Transplant 8:e14717 [DOI] [PubMed] [Google Scholar]
  • 108.Demchenko AP (2020) Photobleaching of organic fluorophores: quantitative characterization, mechanisms, protection. Methods Appl Fluoresc 8(2):022001 [DOI] [PubMed] [Google Scholar]
  • 109.So PTC, Dong CY, Masters BR, Berland KM (2000) Two-photon excitation fluorescence microscopy. Annu Rev Biomed Eng 2(1):399–429 [DOI] [PubMed] [Google Scholar]
  • 110.Svoboda K, Yasuda R (2006) Principles of two-photon excitation microscopy and its applications to neuroscience. Neuron 50(6):823–839 [DOI] [PubMed] [Google Scholar]
  • 111.Vytautas K, Werner MP, Thomas S-R, Frédéric L, van Zandvoort Marc AMJ (2021) Two-photon endoscopy: state of the art and perspectives. Mol Imaging Biol 2:1–15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Gonzalez-Hernandez D, Varapnickas S, Bertoncini A, Liberale C, Malinauskas M (2023) Micro-optics 3d printed via multi-photon laser lithography. Adv Opt Mater 11(1):2201701 [Google Scholar]
  • 113.Gao H, An J, Chua CK, Bourell D, Kuo C-N, Tan DTH (2023) 3d printed optics and photonics: processes, materials and applications. Mater Today 69:107–132 [Google Scholar]
  • 114.Dabbagh SR, Sarabi MR, Birtek MT, Seyfi S, Sitti M, Tasoglu S (2022) 3d-printed microrobots from design to translation. Nat Commun 13(1):1–24 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Kadic M, Milton GW, van Hecke M, Wegener M (2019) 3d metamaterials. Nat Rev Phys 1(3):198–210 [Google Scholar]
  • 116.Park H-C, Guan H, Li A, Yue Y, Li M-J, Hui L, Li X (2020) High-speed fiber-optic scanning nonlinear endomicroscopy for imaging neuron dynamics in vivo. Opt Lett 45(13):3605–3608 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Horton NG, Wang K, Kobat D, Clark CG, Wise FW, Schaffer CB, Chris X (2013) In vivo three-photon microscopy of subcortical structures within an intact mouse brain. Nat Photon 7(3):205–209 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Wang T, Chris X (2020) Three-photon neuronal imaging in deep mouse brain. Optica 7(8):947–960 [Google Scholar]
  • 119.Scharf E, Dremel J, Kuschmierz R, Czarske J (2020) Video-rate lensless endoscope with self-calibration using wavefront shaping. Opt Lett 45(13):3629–3632 [DOI] [PubMed] [Google Scholar]
  • 120.Gigan S, Katz O, De Aguiar HB, Andresen ER, Aubry A, Bertolotti J, Bossy E, Bouchet D, Brake J, Brasselet S et al (2022) Roadmap on wavefront shaping and deep imaging in complex media. J Phys: Photon 4(4):042501 [Google Scholar]
  • 121.Ding C, Shao R, He Q, Li LS, Yang J (2024) Wavefront shaping improves the transparency of the scattering media: a review. J Biomed Opt 29(S1):S11507–S11507 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Yeminy T, Katz O (2021) Guidestar-free image-guided wavefront shaping. Sci Adv 7(21):eabf5364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Zehao W, Zhang Y, Ai N, Chen H, Ge W, Qingsong X (2022) Magnetic mobile microrobots for upstream and downstream navigation in biofluids with variable flow rate. Adv Intell Syst 4(7):2100266 [Google Scholar]
  • 124.Boutilier RM, Park JS, Lee H (2018) High-speed two-photon laser scanning microscopy imaging of in vivo blood cells in rapid circulation at velocities of up to 1.2 millimeters per second. Curr Opt Photon 2(6):595–605 [Google Scholar]
  • 125.Rosa B, Erden MS, Vercauteren T, Herman B, Szewczyk J, Morel G (2012) Building large mosaics of confocal edomicroscopic images using visual servoing. IEEE Trans Biomed Eng 60(4):1041–1049 [DOI] [PubMed] [Google Scholar]
  • 126.Li J, Thiele S, Kirk RW, Quirk BC, Hoogendoorn A, Chen YC, Peter K, Nicholls SJ, Verjans JW, Psaltis PJ et al (2022) 3d-printed micro lens-in-lens for in vivo multimodal microendoscopy. Small 18(17):2107032 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

This is a review article, and no new data were generated or analyzed. All data discussed in this article are cited and accessible from the original publications referenced herein.


Articles from Journal of the Indian Institute of Science are provided here courtesy of Springer

RESOURCES