Abstract
Single molecule fluorescence spectroscopy is at the heart of molecular biophysics research and the most sensitive biosensing assays. The growing demand for precision medicine and environmental monitoring requires the creation of miniaturized and portable sensing platforms. However, the need for highly sophisticated objective lenses has precluded the development of single molecule detection systems for truly portable devices. Here, we propose a dielectric metalens device of submicrometer thickness to excite and collect light from fluorescent molecules instead of an objective lens. The high numerical aperture, high focusing efficiency, and dual-wavelength operation of the metalens enable the implementation of fluorescence correlation spectroscopy with a single Alexa 647 molecule in the focal volume. Moreover, the metalens enables real-time monitoring of individual fluorescent nanoparticle transitions and identification of hydrodynamic diameters ranging from a few to hundreds of nanometers. This advancement in sensitivity extends the application of the metalens technology to ultracompact single-molecule sensors.
Subject terms: Metamaterials, Fluorescence spectroscopy
The requirement for sophisticated objective lenses hinders the miniaturisation of single molecule fluorescence spectroscopy for portable sensing applications. Here, the authors demonstrate a dual-wavelength metalens for real-time monitoring of individual fluorescent nanoparticles.
Introduction
Single molecule sensing technologies are paramount for biosensing1–3, single molecule chemistry4–6, molecular dynamics7,8, DNA sequencing9,10, and proteomics11. Ultrasensitive fluorescence techniques can probe individual processes that would require synchronization in ensemble measurements12. In particular, fluorescence correlation spectroscopy (FCS) can gather dynamic data from multiple repetitive single molecule events. Although single molecule fluorescence techniques have advanced in the last three decades13, the required equipment includes the most complex, costly, and bulky objective lenses in the market that make certain applications restrictive such as point-of-care diagnostic settings and environmental monitoring. Previously, miniaturized smartphone-based microscopes were reported to enable single nanoparticle detection with low numerical aperture (NA) optics14–16, while integrating them with an addressable nanoantenna platform can push the sensitivity to single molecule level17. Alternatively, hand-held lensfree holographic imaging platforms could provide single nanoparticle observation above 40 nm18. Conversely, dielectric metalenses enable unprecedented electromagnetic field tailoring to focus light close to the diffraction limit with high NA19–23, whereas their micrometer-thick arrangement of meta-atoms is suitable for miniaturized imaging systems24. Metalens studies have advanced toward chromatic aberration correction at two or three wavelengths or within a broad bandwidth25–30. The compactness and focusing performance make the metalens a suitable candidate to further miniaturize single molecule detection systems toward truly portable devices16. Dielectric metasurfaces operating as phase and polarization masks in the microscope Fourier plane are able to get rid of localization biases in single-molecule imaging31. However, attaining a single molecule level of fluorescence sensitivity under the epi-fluorescence operation implies that the lens simultaneously possesses high focusing efficiency, high NA, and achromatic focusing. Finding a trade-off between these functionalities in a single metalens device poses a fundamental challenge32,33. In contrast, near-unity NA metalenses have previously been demonstrated to detect the emission of individual diamond nitrogen-vacancy (NV) centers21,22. However, these metalenses only operate as one-wavelength collecting lenses, which hinders their realistic miniaturization and application as portable devices for epi-fluorescence detection. Moreover, NV centers are typically brighter than conventional organic fluorescent molecules by two or three orders of magnitude34,35 and yield extraordinary photostability, drastically relaxing the requirements for metalens performance. In contrast, dual-wavelength metalenses have been shown to enable two-photon fluorescence imaging of large microparticles in the epi-fluorescence mode36. However, single molecule or single nanoparticle detection by a metalens has remained elusive.
In this study, we address the challenge of metalens fluorescence sensitivity and utilize FCS to capture fluorescence fluctuations arising from single molecule and single nanoparticle passes driven by 3D-Brownian motion in an aqueous solution. The FCS technique can directly track single-molecule diffusion events and provide information hidden from ensemble-averaging techniques, including the number of molecules in the detection volume, molecule brightness, and hydrodynamic radius, even in the case of low optical system collection efficiency or reduced emission quantum yield37–39. We designed a metalens made of hydrogen-doped amorphous silicon (aSi:H) meta-atoms40. The metalens possesses several functionalities simultaneously, i.e., high NA of 0.6, high focusing efficiency, and chromatic aberration correction at two wavelengths. In contrast, the metalens operates in one-photon epi-fluorescence mode without an objective lens to excite and collect fluorescent light from diffusing emitters in an aqueous solution. The confocal configuration and nanosecond signal time gating allowed us to detect fluorescence from the focal volume of the metalens with modest background noise and out-of-focus fluorescence. We employ Alexa Fluor 647 as a benchmark fluorophore commonly used in bioimaging and biosensing techniques, and it yields highly photostable conjugates and optimized blinking behavior under red light excitation41–43. Additionally, Alexa 647 has emerged as a standard fluorophore in conventional FCS studies in aqueous solutions and living cells44,45. The designed metalens provides a high enough sensitivity to capture the fluorescence signal and FCS correlation function from 1.7 Alexa 647 molecules in the detection volume. Compared to conventional objective lenses with similar properties, the designed metalens yields comparable single molecule sensitivity with a single layer of dielectric nanofins, while the lens size is miniaturized by around 2 orders of magnitude in all dimensions. Furthermore, we monitor the real-time fluorescence bursts of quantum dots (QDs) and stained nanoparticles (NPs). The nanoparticles yield emission spectra that partly overlap with that of Alexa 647 and, hence, appear compatible with the metalens platform. NPs with different hydrodynamic diameters are clearly distinguished based on their diffusion time through the metalens focal volume. This unprecedented sensitivity opens up various metalens applications in portable single-molecule systems. Because of their small size, metalenses can be integrated with available miniaturized microscope solutions, e.g., smartphone microscopes16,17 and 3D-printed FCS platforms46. Metalens structures are compatible with silicon photonic chips47,48 making them viable candidates for integrating single molecule on-chip sensors for point-of-care testing1.
Results
Design principle of dual-wavelength metalens
Figure 1a shows the operational scheme of the metalens for the excitation and collection of the fluorescence of diffusing single Alexa Fluor 647 molecules. The two working wavelengths of 635 and 670 nm correspond to the laser line of our microscope and the emission maximum of Alexa 647 molecules (Fig. 1b). The rationale behind selecting these target wavelengths is to ensure efficient fluorescence collection from the laser spot and avoid excessive collection of out-of-focus uncorrelated background light. Single molecule spectroscopy experiments are conducted using a home-built time-resolved confocal epi-fluorescence microscope (Fig. 1c). The spectral filter set is optimized for fluorescence detection in the spectral band between 655 and 700 nm (see details in “Methods”). The metalens focuses laser beam through a thin glass slide inside a fluorescent solution. The designed metalens device substitutes the excitation and collection objective lens on the microscope body.
The metalens is composed of rectangular meta-atoms made of aSi:H that exhibit a high refractive index (n) and a low extinction coefficient (k) at the working wavelengths (Supplementary Fig. 1). The diameter of the metalens is 500 μm, and the focal length (f) is 330 μm (NA = 0.6). The phase maps of the dual-wavelength metalens are calculated by satisfying the lens equation: , where is phase, and are the spatial coordinates, respectively, and λ is the target wavelength (Supplementary Fig. 2). Two theoretically ideal phase maps can be produced as there are two target wavelengths. The metasurface operates on the principle of phase modulation using the co-polarization term of the propagation phase (Supplementary Fig. 3)49. By exploiting the discrepancy in transmittance between the major and minor axes, it becomes possible to implement a phase variation ranging from 0 to 2π. Furthermore, this metasurface possesses polarization-independent characteristics, enabling it to focus the linearly polarized laser beam and collimate the emitted nonpolarized fluorescence light. Through simulations using the rigorous coupled wave analysis method50, we obtain the values of transmittance, conversion efficiency, and phase while sweeping the width (W) and length (L) from 80 to 280 nm at 5 nm intervals (Supplementary Fig. 4), with a periodicity (P) of 300 nm and a height (H) of 500 nm.
Consequently, based on the simulation results, we selected structures exhibiting transmittances above 50% and conversion efficiencies exceeding 50%. Among these structures, we identify the nanostructure geometry at each position that best approximated the theoretical ideal phase map for the incident wavelengths of 635 and 670 nm, achieving a matched phase map (Supplementary Fig. 2). Supplementary Fig. 5 shows the values of W and L for the nanostructures in the matched phase maps, respectively. The transmittance and conversion efficiency maps are shown in Supplementary Fig. 6. Under the matching conditions, the average transmittance of the obtained metalens amounts to 82.6% at 635 nm and 83.5% at 670 nm, whereas the average conversion efficiency was 71.6% at 635 nm and 76.2% at 670 nm. This result represents the conversion efficiency obtained when using the co-polarization term, which is more than 5% higher than the conversion efficiency observed when using cross-polarization (Supplementary Fig. 7). Next, the metalens is fabricated on a glass substrate using electron-beam lithography (“Methods”). A representative optical microscopy image of the metalens is shown in Fig. 2a. According to the scanning electron microscope images, the fabricated metalens accommodates well-defined rectangular meta-atoms with sharp edges (Fig. 2b, c). The rationale behind the optimization of focusing efficiency, NA, and chromatic aberration correction takes into consideration two main aspects: overlap of excitation and detection volumes (Fig. 2d) and molecule detection efficiency (MDE). The overlap mismatch of the excitation and detection volumes leads to the elongation of the FCS effective volume and limited single molecule brightness even for high NA lenses51. MDE represents a metric of single molecule fluorescence intensity the system can detect and amounts to a product of the laser power density, i.e. the rate of pumping the molecules to their singlet excited state, and the collection efficiency of the system (CEF)52. Under the diffraction limit conditions, the laser power density is proportional to with FEexc being the metalens focusing efficiency (transmittance in case of conventional objective lens) at the laser wavelength. On the other hand, for a correctly set pinhole size, CEF is proportional to 52, where FEem is the metalens focusing efficiency (transmittance in case of conventional objective lens) at the emission wavelength, n is the refractive index of the aqueous solution. Figure 2e displays the MDE plot as a function of NA at four exemplary metalens focusing efficiencies. Both NA and focusing efficiency drastically affect MDE, therefore, our rationale for a fabricable metalens design accommodates their trade-off together with dual-wavelength operation.
Evaluation of focusing performance
Focusing tests are conducted at the two target wavelengths to evaluate the performance of the fabricated metalens. The focal spots of the metalens are characterized using a transmission microscope (Supplementary Fig. 8) with laser wavelengths of 635 and 670 nm. Figure 3a, b shows the resulting focal spot intensity images. The focal spots exhibit a highly circular shape (Fig. 3c) with a full width at half maximum (FWHM) of 0.77 μm at 635 nm and 1.03 μm at 670 nm. Figure 3d represents the scanning results in the z-direction used to evaluate the depth of focus. The experimental focal spots are enlarged because of several reasons including phase mismatch and manufacturing imperfection (see details in Supplementary Note 9). Therefore, the experimentally measured NA is the effective NA, which is determined by physical diameter and focal length. The images confirm that the focal points are positioned at a distance of 330 μm corresponding to effective NA = 0.6, which is large enough to focus laser light through a thin glass slide. The focal distances match nearly perfectly, and the metalens focal volume aspect ratio is approximately 10. We define the focusing efficiency as the ratio of the light intensity captured at the focal spot to the amount of incident light entering the metalens. At the incident wavelength of 635 nm, the focusing efficiency is measured to be 14.2%, whereas, at 670 nm, it increases to 37.1%. The higher focusing efficiency at 670 nm as compared with that at 635 nm is attributed to the shorter depth of focus. Compared with the case in which the theoretically ideal phase is applied (Supplementary Fig. 11), the FWHM increases 1.35 and 1.89 times for the respective wavelengths. In addition, the depth of focus has increased, which can be attributed to two factors: (i) the challenge in achieving a perfectly identical phase with the matched phase approach and (ii) the difficulty in patterning nanostructures into perfect rectangular prisms owing to fabrication limitations. Nevertheless, the desired properties have not been achieved with single layer metalenses before, as we conduct the metalens performance comparison to achromatic lenses from prior arts (Supplementary Table 1). As creating multilayer metalenses with several layers is typically accompanied by layer alignment issues, the advantage of the metalens design of this work is implementation of single layer metalens with tight focusing and sufficiently high focusing efficiency at the fluorophore emission wavelength.
Metalens FCS of single molecules
Afterward, the metalens is mounted onto a confocal epi-fluorescence microscope for single-molecule fluorescence sensing. We incorporate an achromatic doublet lens to adjust the beam width to the size of the metalens. The effective focal length of the metalens-doublet lens system defines the resulting ×31 magnification of the metalens microscope (see detailed calculations in Methods). Considering the metalens point spread function (PSF) data and magnification, we employed an 80 μm confocal pinhole. We record the fluorescence intensity time traces of the diffusing Alexa 647 molecules in a phosphate buffer solution (PBS, pH 7.4) (Fig. 4a). The laser power (1 mW) is below the fluorescence saturation intensity of the molecules (Supplementary Fig. 12). We speculate that a high focusing efficiency at a collection wavelength of 670 nm brings more value to the metalens sensitivity than that at the excitation wavelength, as the molecule photon budget is intrinsically limited53. The time traces are acquired at concentrations from 6 nM to 10 pM for approximately 10 min to accumulate a sufficient amount of single molecule events and reduce the FCS correlation function noise. The time traces are filtered using a post-processing time-gating technique54,55 in a 10 ns fluorescence decay window. Time-gating filtering minimizes the contribution of the long-lived metalens background noise. The possibility of recording the FCS correlation functions of the correct amplitude and decay time validates the single molecule sensitivity of the metalens system. We confirm that the correlation is zero if the metalens is defocused from the fluorescent molecule solution or completely removed from the light path (Supplementary Fig. 13). Furthermore, the correlation amplitudes increase as the number of molecules decreases (Fig. 4b). We fit the FCS correlation functions by the 3D-Brownian diffusion model (see Methods) with the fixed beam aspect ratio κ = 10 and extract the relevant parameters such as molecule diffusion time, number of molecules in the confocal effective volume of the metalens, single molecule brightness (CRM). The diffusion time through the metalens focal volume resides at approximately 2.2 ms (Supplementary Table 2). The dark-state blinking term with a characteristic time of 5 μs for Alexa 647 (Supplementary Fig. 14) is not resolved because of the lack of single molecule brightness. Therefore, considering the standard diffusion model, we analyzed the autocorrelation functions with lag times above 10 μs. The collected non-diffracted fluorescence light which is emitted away from the focal volume affects the correlation amplitude at high concentrations. In contrast, the residual background noise of the metalens structure restrains the correlation amplitude to below approximately 15 × 10−3 at low concentrations. To correctly identify the number of molecules from the FCS correlation function fits, we account for the background intensity, i.e., the signal acquired when the metalens focuses the laser light below the fluorescent solution reservoir (see Methods). The time traces and FCS correlation functions can be recorded for only 1.7 molecules (Fig. 4c) at 10 pM concentrations, consolidating the ultimate sensitivity of the designed metalens. The number of detected molecules scales linearly with the concentration (C) from one to several thousand molecules. The apparent FCS detection volume in the aqueous solution amounts to 280 fl which exceeds the confocal effective volume determined from the PSF data by around 5 times (see details in Methods). We attribute this focal volume increase to the collection of a fraction of non-diffracted ballistic fluorescent photons by the metalens and focal spot aberrations induced by light propagation through glass slides and aqueous solutions. Moreover, remaining chromatic distortion can contribute to the effective volume expansion, as it has been clearly demonstrated on near-unity NA aspheric lenses52. We directly retrieve the single molecule brightness by dividing the fluorescence intensity collected from the detection volume by the number of molecules (Methods). The fluorescence intensity of a single molecule is approximately 50 counts/s. Next, we monitor the diffusion time delay of Alexa 647 molecules in a highly viscous solution (glycerol 60 vv% in PBS). From the observed correlation decay (Fig. 4d), the diffusion time in glycerol increases by approximately 14×, which is in good agreement with conventional objective lens measurements (Supplementary Fig. 14). Figure 4e shows the fluorescence decays of Alexa 647 determined by time-correlated single photon counting (TCSPC). Alexa 647 yields natural lifetime values of 0.97 ns without glycerol (Supplementary Table 3). The mono-exponential decay and lifetime value agree with the expected Alexa 647 photophysical properties56. The Alexa 647 lifetime, which is sensitive to the glycerol environment57 increases to 1.57 ns in the glycerol solution.
In order to provide an adequate comparison between our metalens performance and the conventional optics, we record FCS data of diffusing Alexa 647 molecules by a set of lenses of different NA and chromatic aberration presences (Fig. 5a). The fluorescence from Alexa 647 solution is excited and collected by two aspheric lenses of NA = 0.18 and 0.54 and objective lenses of various NA in the range of 0.15 and 1.2 (lens sizes shown in Supplementary Table 4). The corresponding raw FCS correlation traces are shown in Supplementary Fig. 15. We observe that the aspheric lenses of NA close to that of the metalens or below do not enable reaching single molecule sensitivity under identical excitation/detection conditions (Fig. 5b). The lack of sensitivity comes from the mismatch in overlap between the excitation and detection volume of the single-element aspheric lens due to its intrinsic chromatic distortion51,52. Employing achromatic multi-element objective lenses clearly boosts the single molecule fluorescence intensity (Fig. 5c), although it still remains undetectable for objective lenses with NA < 0.25. The designed metalens exceeds the performance of objective lenses with NA < 0.5 by all critical FCS parameters such as single molecule brightness, effective FCS volume, and diffusion time of molecules (Fig. 5c–e). Although the metalens-enabled single molecule brightness and diffusion time fall short of those retrieved by NA = 0.5 objective lens, the effective volume comes close to the conventional objective lens trend. Altogether, the proposed metalens device miniaturizes conventional objective lens size by 2 orders of magnitude in all dimensions and maintains similar single molecule sensitivity. Moreover, the demonstrated dual-wavelength operation of the metalens encoded within a single nanostructure layer plays a pivotal role in providing sufficient collection efficiency from diffusing molecules, whereas conventional single-element refractive lenses typically strive to collect sufficient single molecule fluorescence signal even at high NA52.
Size identification and real-time monitoring of single nanoparticles
Single nanoparticle detection is relevant for environmental microplastic monitoring58 and biomedical viral tests14. FCS allows us to extend the metalens applicability to the detection of different types of emitting single nanoparticles with the capability of size and concentration identification at nanometer precision. We perform FCS measurements on carboxyl quantum dots (QDs) with a hydrodynamic diameter (Dh) of 11 nm (emission maximum at 655 nm) and plastic NPs with Dh = 110 nm and Dh = 490 nm, which are stained with dyes emitting at 680 nm (Fig. 6a). The excitation power is reduced to 100 μW to avoid photobleaching of the NPs (Supplementary Fig. 12). The autocorrelation function demonstrates clear shifts toward longer emitter transit times as the hydrodynamic diameter of the nanoparticles increases. This size range lines up with nanoplastic size, i.e., microplastic below 1 μm that is released from biomedical care products, paints, or upon microplastic degradation58 and obey Brownian motion interactions59. The metalens FCS can distinguish nanoparticle sizes far below the diffraction limit, where spatial analytical methods of microplastic are typically flawed60. The determined number of NPs follows in excellent agreement with the dilution of the colloidal solution (Supplementary Fig. 16). As expected from the Stokes–Einstein law, the determined diffusion time increased linearly with the hydrodynamic diameter (Fig. 6b). Similarly, the brightness per nanoparticle increases with the size, following the increasing absorption of the nanoparticles (Fig. 6c). The NPs 490 nm deliver bright and long fluorescent bursts of >10 kcounts/s. Furthermore, we dilute the colloidal solution of NPs 110 nm and QDs such that only one nanoparticle or less is present in the detection volume (Supplementary Fig. 17). Nanoparticle events produce bursts above the threshold value of the buffer solution as the nanoparticle brightness exceeds the shot noise of the Poisson statistics. The time trace histograms feature tails at higher count rates, even in the presence of approximately 0.17 NPs, on average, which could correspond solely to single nanoparticle events. Finally, the fluorescence origin of the signal from the NPs is confirmed by fluorescence decay traces (Fig. 6d), with widths substantially exceeding the instrument response function (IRF).
Discussion
In conclusion, to the best of our knowledge, we have experimentally demonstrated that a flat metalens device enables detection of single fluorescent molecules without any objective lens. The epi-fluorescence operation simplifies and miniaturizes the metalens microscope apparatus. These results confirm that the metalens platform can compete with complex and costly objective lenses for single molecule sensing and dynamics studies. Observing temporal signal fluctuations provides access to molecular parameters, such as the molecular diffusion coefficient and concentration, which could extend to molecular interaction dynamics and conformational rearrangements. Moreover, we record single diffusing nanoparticles in real time and unambiguously identify emitter hydrodynamic diameters ranging from one to hundreds of nanometers using the FCS approach. We admit that there is still room for signal improvement by pushing the metalens design toward the ultimate theoretical limits of focusing efficiency, numerical aperture, and broadband operation61. The demonstrated performance already allows considerable miniaturization and substitution of costly objective lenses of modest NA. Considering that future improvements in metalens fabrication and performance could achieve the single molecule sensitivity of current conventional state-of-the-art measurements and enable additional functionalities with unprecedented control of light properties. For instance, the unique tunability of electromagnetic field manipulation by metasurfaces62–64 opens horizons for future developments in single molecule spectroscopy, such as directionality manipulation and sorting of emission or additional system miniaturization of multicolor detection systems by substituting functionalities of beam splitters and spectral filters. Another advantage of the proposed methodology includes its potential integration with miniaturized microscopes or photonic integrated circuits for handheld single molecule sensors with ultimate miniaturization, portability, and mass producibility65.
Methods
Metalens fabrication and characterization
The dual-wavelength metalens is fabricated using a high-resolution electron beam lithography (EBL) system on a glass substrate. First, a high-refractive-index a-Si:H is deposited with 600-nm thickness on the substrate by a plasma-enhanced chemical vapor deposition at a specific condition with gas flows of about 10 sccm for SiH4 and 75 sccm for H2 After spin coating and soft baking a photoresist (Microchem, 950 PMMA A2) on the a-Si:H deposited substrate, the EBL system (ELIONIX, ELS-7800) is used to draw an optimized metalens design, followed by a development process using a methyl isobutyl ketone/Isopropyl alcohol 1:3 solution. In order to define an etch mask, A 40-nm thick chromium (Cr) is deposited on the patterned photoresist by electron beam evaporation system (KVT, KVE-ENS4004) and then the patterned photoresist is completely removed by acetone, leaving only Cr masks on the substrate for a selective etching process of the a-Si:H layer. After the dry etching (DMS, silicon/metal hybrid etcher) removes residual a-Si:H area not protected by Cr masks, the final metalens is achieved by wet-etching of the remaining Cr masks using Cr etchant (CR-7). All scanning electron microscopy (SEM) images are obtained using a field-emission SEM system (HITACHI, Regulus 8100) with typical operating voltage of 5kV.
The focal spots of the metalens are characterized using a camera-based microscope. Lasers with working wavelengths of 635 and 670 nm are used to produce spatially overlapping beams of light that are then adjusted by two lenses with the fiber coupling system to make the incident beam Gaussian. Two dichroic mirrors are employed to propagate the three beams at normal incidence. The metalens focal spots are magnified using a scanning horizontal microscope with an objective lens (Olympus PLANFL 100x, NA 0.8), a tube lens (Thorlabs TTL180-A), and an sCMOS camera (PCO panda 4.2). The horizontal microscope is mounted on a motorized stage (Thorlabs DDS100) to measure the intensity of the light with 1-μm intervals.
Time-resolved confocal microscope with metalens
The excitation source is a 635-nm picosecond laser (PicoQuant, LDH P-C-635) with a pulse width of approximately 120 ps. The laser repetition rate and synchronization are driven by the laser driver (PicoQuant, Sepia PDL 828). The laser beam is spatially filtered to produce a quasi-Gaussian profile. The possible long-wavelength light emitted by the laser is filtered out using a short-pass filter (Thorlabs, FESH0650). A dichroic mirror (Semrock, FF649-Di01-25 × 36) splits the excitation and fluorescence light. The laser power values in the text correspond to the incident power on the dichroic mirror. The incident power is adjusted using a half-waveplate placed before the polarizing beam splitter. A doublet lens (f = 200 mm, Thorlabs, AC254-200-AB) is used to adjust the size of the incident beam to the aperture of the metalens. The molecular fluorescence is excited and collected using dual-wavelength metalens mounted on a microscope body (Nikon Eclipse Ti2). The metalens and doublet lens are removed in conventional fluorescence correlation spectroscopy (FCS) control experiments, and the following lenses were employed: aspheric lenses (Thorlabs, AL2520-A; Thorlabs, C560TME) and objective lenses (Olympus MPlanFL N NA = 0.15, 5x; Olympus Plan N NA = 0.25, 10x; Olympus MPlanFL N NA = 0.3, 10x; Olympus UPlanFL N NA = 0.5, 20x; Olympus MPlanFL N NA = 0.8, 50x; Nikon PLAN APO λD NA = 0.95, 40x; Nikon Plan Apo VC, NA = 1.2, 60x, WI). The fluorescent light passes through a long-pass filter (Semrock, BLP01-635R-25), tube lens (Thorlabs, TTL200-A), confocal pinhole, and band-pass filter (Semrock, FF01-679/41-25) and is focused on a single photon avalanche diode (MPD, PD-050-CTC). The pinhole size is 80 μm in the case of the metalens measurements and 50 μm in the case of the objective lens control experiments. TCSPC and FCS data are recorded using a time-resolved module (PicoQuant, Multiharp 150 4 P) with time resolution of 5 ps.
The effective focal length of the metalens-doublet lens system is given by a relation of where fmeta = 0.33 mm and fDL = 200 mm are the focal lengths of the metalens and doublet lens, respectively, and d is the distance between the metalens and doublet lens. The distance d is 190 mm, which defines the effective focal length of the metalens-doublet lens system as 6.45 mm. Given that the focal length of the microscope tube lens is 200 mm, the magnification of the resulting metalens is 31×. The beam waist ωx found from the focal spot images (Fig. 3) is about 0.9 μm leading to approximately 57 μm spot diameter at the pinhole plane. Therefore, the confocal pinhole size is set to 80 μm.
Samples of fluorescent molecules and nanoparticles
Alexa Fluor 647 NHS Ester powder (HPLC purity 98%) is purchased from ThermoFisher Scientific (1 mg, catalog number: A20006). Alexa Fluor 647 molecules are dissolved in a phosphate buffer solution from Merck (PBS, pH 7.4, sterile, catalog number: P5244), diluted to 10 μM concentration, and stored at 4 °C in the dark. Nanomolar and picomolar solutions are prepared shortly before the experiment to avoid unwanted nonspecific adhesion to tube walls. High-viscosity experiments are conducted in the presence of glycerol in aqueous solution. Glycerol is obtained from Sigma-Aldrich (spectrophotometric grade >99.5%; catalog number: 191612). Quantum dots with a core/shell structure (CdSe/ZnS) are purchased from ThermoFisher Scientific (Qdot 655 ITK carboxyl quantum dots). Fluorescent nanoparticles with diameters of 110 and 490 nm are purchased from ThermoFischer Scientific (TetraSpeck, Fluorescence Microsphere Sampler Kit). The solutions are placed on a glass slide with a thickness below 0.17 μm to ensure that the working distance of the metalens is sufficient to focus through it.
Fluorescence time trace data processing
Fluorescence intensity time traces, FCS correlation functions, and TCSPC histograms were processed using SymPhoTime 64 (PicoQuant). The FCS correlation functions retrieved from the metalens measurements are fitted using the 3D-Brownian diffusion model with the background noise contribution66:
1 |
Here, B denotes the background noise (including the uncorrelated out-of-focus fluorescence intensity), F is the total collected fluorescence intensity, is the number of molecules or nanoparticles, is the diffusion time, and κ is the aspect ratio of the focal volume. The background noise B is measured by moving the focal volume of the metalens below the fluorescent solution. Based on the correlation amplitude at zero lag time, the number of molecules/nanoparticles is determined as . The single molecule/nanoparticle brightness is directly deduced from the FCS measurements as , where denotes the fluorescence intensity collected from the detection volume. The acquisition time for FCS measurements of quantum dots (QDs) and nanoparticles (NPs) is conducted within 200 s, while the Alexa 647 fluorescence has been recorded for 600 s to improve the SNR67,68. The apparent detection volume of the metalens is determined as with NA being Avogadro’s number, C being the molecule concentration. The confocal effective volume is determined from the point spread function data (Fig. 3) as follows: with being the corresponding beam waist.
As Alexa 647 molecules tend to exhibit microsecond blinking, the FCS data from control experiments with a high NA objective lens (NA = 1.2) is fitted by the diffusion model with a triplet term as follows:
2 |
With T being the fraction of molecules in the dark (triplet) state, and being the triplet state blinking time.
The fluorescence decays are fitted by exponential functions via an iterative reconvolution that takes into account the instrument response function (IRF). FWHM of the instrument response function (IRF) amounts to 160 ps. Fitting undergoes via the exponential reconvolution of IRF. Mono-exponential approximation appropriately fits all the decays except for QDs.
Supplementary information
Acknowledgements
This work was financially supported by the National Research Foundation (NRF) grants (RS-2023-00266110, NRF-2020R1A5A1019649, NRF-2023M3K5A109482011, NRF-2022M3C1A3081312, NRF-2022M3H4A1A02074314, NRF-2019R1A5A8080290, RS-2023-00283667, RS-2023-00302586) funded by the Ministry of Science and ICT (MSIT) of the Korean government, the POSCO-POSTECH-RIST Convergence Research Center program funded by POSCO, and the POSTECH-Samsung Semiconductor Research Center (IO201215-08187-01) funded by Samsung Electronics. I.K. acknowledges the NRF Sejong Science fellowship (NRF-2021R1C1C2004291) funded by the MSIT of the Korean government. Y.K. and D.K.O. acknowledge the Hyundai Motor Chung Mong-Koo fellowships. Y.K. acknowledges the NRF Ph.D. fellowship (NRF-2022R1A6A3A13066251) funded by the Ministry of Education of the Korean government. J.J. acknowledges the NRF Sejong Science fellowship (RS-2023-00209560) funded by the MSIT of the Korean government.
Author contributions
I.K., A.B., and J.R. conceived the initial idea, and developed the concept. A.B. and H.P. constructed the time-resolved confocal microscope setup. A.B. performed fluorescence measurements for single molecule and nanoparticle detection. Y.K. and J.J. designed and characterized the dual-wavelength metalenses. D.K.O fabricated the metalens devices. All authors wrote the manuscript, and contributed to the discussion and analysis. I.K. and J.R. guided the entire project.
Peer review
Peer review information
Nature Communications thanks Euan McLeod and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Data availability
All data generated in this study are available in the main text and the supplementary information. Raw data that support the findings of this study will be made available from the corresponding authors upon request.
Code availability
The codes used in this study are available from the corresponding authors upon request.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Aleksandr Barulin, Yeseul Kim, Dong Kyo Oh.
Contributor Information
Junsuk Rho, Email: jsrho@postech.ac.kr.
Inki Kim, Email: inki.kim@skku.edu.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-023-44407-4.
References
- 1.Dey S, Dolci M, Zijlstra P. Single-molecule optical biosensing: Recent advances and future challenges. ACS Phys. Chem. Au. 2023;3:143–156. doi: 10.1021/acsphyschemau.2c00061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Mandal S, et al. Direct kinetic fingerprinting for high-accuracy single-molecule counting of diverse disease biomarkers. Acc. Chem. Res. 2020;54:388–402. doi: 10.1021/acs.accounts.0c00621. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Weng R, et al. Single-molecule kinetic fingerprinting for the ultrasensitive detection of small molecules with aptasensors. Anal. Chem. 2019;91:1424–1431. doi: 10.1021/acs.analchem.8b04145. [DOI] [PubMed] [Google Scholar]
- 4.Bayley, H., Luchian, T., Shin, S.-H. & Steffensen, M. B. Single-molecule covalent chemistry in a protein nanoreactor. in Single Molecules and Nanotechnology (eds. Rigler, R. & Vogel, H.) 251–277 (Springer Berlin Heidelberg, 2008). 10.1007/978-3-540-73924-1_10.
- 5.Qing Y, Ionescu SA, Pulcu GS, Bayley H. Directional control of a processive molecular hopper. Science. 2018;361:908–912. doi: 10.1126/science.aat3872. [DOI] [PubMed] [Google Scholar]
- 6.Ying Y-L, et al. Nanopore-based technologies beyond DNA sequencing. Nat. Nanotechnol. 2022;17:1136–1146. doi: 10.1038/s41565-022-01193-2. [DOI] [PubMed] [Google Scholar]
- 7.Patra S, Claude J-B, Naubron J-V, Wenger J. Fast interaction dynamics of G-quadruplex and RGG-rich peptides unveiled in zero-mode waveguides. Nucleic Acids Res. 2021;49:12348–12357. doi: 10.1093/nar/gkab1002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Nettels D, Hoffmann A, Schuler B. Unfolded protein and peptide dynamics investigated with single-molecule FRET and correlation spectroscopy from picoseconds to seconds. J. Phys. Chem. B. 2008;112:6137–6146. doi: 10.1021/jp076971j. [DOI] [PubMed] [Google Scholar]
- 9.Eid J, et al. Real-time DNA sequencing from single polymerase molecules. Science. 2009;323:133–138. doi: 10.1126/science.1162986. [DOI] [PubMed] [Google Scholar]
- 10.Manrao EA, et al. Reading DNA at single-nucleotide resolution with a mutant MspA nanopore and phi29 DNA polymerase. Nat. Biotechnol. 2012;30:349–353. doi: 10.1038/nbt.2171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Brinkerhoff H, Kang AS, Liu J, Aksimentiev A, Dekker C. Multiple rereads of single proteins at single–amino acid resolution using nanopores. Science. 2021;374:1509–1513. doi: 10.1126/science.abl4381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Moerner WE, Orrit M. Illuminating single molecules in condensed matter. Science. 1999;283:1670–1676. doi: 10.1126/science.283.5408.1670. [DOI] [PubMed] [Google Scholar]
- 13.Orrit M, Bernard J. Single pentacene molecules detected by fluorescence excitation in a p-terphenyl crystal. Phys. Rev. Lett. 1990;65:2716–2719. doi: 10.1103/PhysRevLett.65.2716. [DOI] [PubMed] [Google Scholar]
- 14.Wei Q, et al. Fluorescent imaging of single nanoparticles and viruses on a smart phone. ACS Nano. 2013;7:9147–9155. doi: 10.1021/nn4037706. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Khatua S, Orrit M. Toward single-molecule microscopy on a smart phone. ACS Nano. 2013;7:8340–8343. doi: 10.1021/nn405167q. [DOI] [PubMed] [Google Scholar]
- 16.Skolrood L, Wang Y, Zhang S, Wei Q. Single-molecule and particle detection on true portable microscopy platforms. Sens. Actuators Rep. 2022;4:100063. doi: 10.1016/j.snr.2021.100063. [DOI] [Google Scholar]
- 17.Trofymchuk K, et al. Addressable nanoantennas with cleared hotspots for single-molecule detection on a portable smartphone microscope. Nat. Commun. 2021;12:950. doi: 10.1038/s41467-021-21238-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.McLeod E, et al. High-throughput and label-free single nanoparticle sizing based on time-resolved on-chip microscopy. ACS Nano. 2015;9:3265–3273. doi: 10.1021/acsnano.5b00388. [DOI] [PubMed] [Google Scholar]
- 19.Liang H, et al. Ultrahigh numerical aperture metalens at visible wavelengths. Nano Lett. 2018;18:4460–4466. doi: 10.1021/acs.nanolett.8b01570. [DOI] [PubMed] [Google Scholar]
- 20.Chen WT, et al. Immersion meta-lenses at visible wavelengths for nanoscale imaging. Nano Lett. 2017;17:3188–3194. doi: 10.1021/acs.nanolett.7b00717. [DOI] [PubMed] [Google Scholar]
- 21.Paniagua-Domínguez R, et al. A metalens with a near-unity numerical aperture. Nano Lett. 2018;18:2124–2132. doi: 10.1021/acs.nanolett.8b00368. [DOI] [PubMed] [Google Scholar]
- 22.Huang T-Y, et al. A monolithic immersion metalens for imaging solid-state quantum emitters. Nat. Commun. 2019;10:2392. doi: 10.1038/s41467-019-10238-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fan Z-B, et al. Silicon nitride metalenses for close-to-one numerical aperture and wide-angle visible imaging. Phys. Rev. Appl. 2018;10:014005. doi: 10.1103/PhysRevApplied.10.014005. [DOI] [Google Scholar]
- 24.Pan M, et al. Dielectric metalens for miniaturized imaging systems: progress and challenges. Light.: Sci. Appl. 2022;11:195. doi: 10.1038/s41377-022-00885-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zhou Y, et al. Multilayer noninteracting dielectric metasurfaces for multiwavelength metaoptics. Nano Lett. 2018;18:7529–7537. doi: 10.1021/acs.nanolett.8b03017. [DOI] [PubMed] [Google Scholar]
- 26.Feng W, et al. RGB achromatic metalens doublet for digital imaging. Nano Lett. 2022;22:3969–3975. doi: 10.1021/acs.nanolett.2c00486. [DOI] [PubMed] [Google Scholar]
- 27.Wang S, et al. A broadband achromatic metalens in the visible. Nat. Nanotechnol. 2018;13:227–232. doi: 10.1038/s41565-017-0052-4. [DOI] [PubMed] [Google Scholar]
- 28.Chen WT, et al. A broadband achromatic metalens for focusing and imaging in the visible. Nat. Nanotechnol. 2018;13:220–226. doi: 10.1038/s41565-017-0034-6. [DOI] [PubMed] [Google Scholar]
- 29.Shrestha S, Overvig AC, Lu M, Stein A, Yu N. Broadband achromatic dielectric metalenses. Light.: Sci. Appl. 2018;7:85. doi: 10.1038/s41377-018-0078-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Balli F, Sultan M, Lami SK, Hastings JT. A hybrid achromatic metalens. Nat. Commun. 2020;11:3892. doi: 10.1038/s41467-020-17646-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Backlund MP, et al. Removing orientation-induced localization biases in single-molecule microscopy using a broadband metasurface mask. Nat. Photon. 2016;10:459–462. doi: 10.1038/nphoton.2016.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Liang H, et al. High performance metalenses: numerical aperture, aberrations, chromaticity, and trade-offs. Optica. 2019;6:1461–1470. doi: 10.1364/OPTICA.6.001461. [DOI] [Google Scholar]
- 33.Chung H, Miller OD. High-NA achromatic metalenses by inverse design. Opt. Expr. 2020;28:6945–6965. doi: 10.1364/OE.385440. [DOI] [PubMed] [Google Scholar]
- 34.Fu C-C, et al. Characterization and application of single fluorescent nanodiamonds as cellular biomarkers. Proc. Natl. Acad. Sci. 2007;104:727–732. doi: 10.1073/pnas.0605409104. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hui YY, Cheng C-L, Chang H-C. Nanodiamonds for optical bioimaging. J. Phys. D: Appl. Phys. 2010;43:374021. doi: 10.1088/0022-3727/43/37/374021. [DOI] [Google Scholar]
- 36.Arbabi E, et al. Two-photon microscopy with a double-wavelength metasurface objective lens. Nano Lett. 2018;18:4943–4948. doi: 10.1021/acs.nanolett.8b01737. [DOI] [PubMed] [Google Scholar]
- 37.Barulin A, Claude J-B, Patra S, Bonod N, Wenger J. Deep ultraviolet plasmonic enhancement of single protein autofluorescence in zero-mode waveguides. Nano Lett. 2019;19:7434–7442. doi: 10.1021/acs.nanolett.9b03137. [DOI] [PubMed] [Google Scholar]
- 38.Barulin A, Roy P, Claude J-B, Wenger J. Ultraviolet optical horn antennas for label-free detection of single proteins. Nat. Commun. 2022;13:1–9. doi: 10.1038/s41467-022-29546-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Barulin A, Wenger J. Ultraviolet photostability improvement for autofluorescence correlation spectroscopy on label-free proteins. J. Phys. Chem. Lett. 2020;11:2027–2035. doi: 10.1021/acs.jpclett.0c00209. [DOI] [PubMed] [Google Scholar]
- 40.Yang Y, et al. Revealing structural disorder in hydrogenated amorphous silicon for a low-loss photonic platform at visible frequencies. Adv. Mater. 2021;33:2005893. doi: 10.1002/adma.202005893. [DOI] [PubMed] [Google Scholar]
- 41.Thiele JC, et al. Confocal fluorescence-lifetime single-molecule localization microscopy. ACS Nano. 2020;14:14190–14200. doi: 10.1021/acsnano.0c07322. [DOI] [PubMed] [Google Scholar]
- 42.Jung C, et al. A new photostable terrylene diimide dye for applications in single molecule studies and membrane labeling. J. Am. Chem. Soc. 2006;128:5283–5291. doi: 10.1021/ja0588104. [DOI] [PubMed] [Google Scholar]
- 43.Seo S-M, et al. A fluorescent immunosensor for high-sensitivity cardiac troponin I using a spatially-controlled polymeric, nano-scale tracer to prevent quenching. Biosens. Bioelectron. 2016;83:19–26. doi: 10.1016/j.bios.2016.04.027. [DOI] [PubMed] [Google Scholar]
- 44.Gombos I, et al. Some new faces of membrane microdomains: a complex confocal fluorescence, differential polarization, and FCS imaging study on live immune cells. Cytom. Part A: J. Int. Soc. Anal. Cytol. 2008;73:220–229. doi: 10.1002/cyto.a.20516. [DOI] [PubMed] [Google Scholar]
- 45.Wenger J, et al. Emission and excitation contributions to enhanced single molecule fluorescence by gold nanometric apertures. Opt. Express. 2008;16:3008–3020. doi: 10.1364/OE.16.003008. [DOI] [PubMed] [Google Scholar]
- 46.Brown JW, et al. Single-molecule detection on a portable 3D-printed microscope. Nat. Commun. 2019;10:5662. doi: 10.1038/s41467-019-13617-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Hsieh P-Y, et al. Integrated metasurfaces on silicon photonics for emission shaping and holographic projection. Nanophotonics. 2022;11:4687–4695. doi: 10.1515/nanoph-2022-0344. [DOI] [Google Scholar]
- 48.Huang H, et al. Leaky-wave metasurfaces for integrated photonics. Nat. Nanotechnol. 2023;18:580–588. doi: 10.1038/s41565-023-01360-z. [DOI] [PubMed] [Google Scholar]
- 49.Ren H, et al. An achromatic metafiber for focusing and imaging across the entire telecommunication range. Nat. Commun. 2022;13:4183. doi: 10.1038/s41467-022-31902-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Yoon G, Rho J. MAXIM: Metasurfaces-oriented electromagnetic wave simulation software with intuitive graphical user interfaces. Comput. Phys. Commun. 2021;264:107846. doi: 10.1016/j.cpc.2021.107846. [DOI] [Google Scholar]
- 51.Ramachandra, R. A. O. Fluorescence correlation spectroscopy: simulations and Bio-chemical applications based on solid immersion lens concept. (ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE, 2006).
- 52.Sonehara T, Anazawa T, Uchida K. Improvement of biomolecule quantification precision and use of a single-element aspheric objective lens in fluorescence correlation spectroscopy. Anal. Chem. 2006;78:8395–8405. doi: 10.1021/ac061036y. [DOI] [PubMed] [Google Scholar]
- 53.Lee J, Kim SH, Se T, Kim D. Characterization of noise in a single-molecule fluorescence signal. J. Phys. Chem. B. 2022;126:1160–1167. doi: 10.1021/acs.jpcb.1c08621. [DOI] [PubMed] [Google Scholar]
- 54.Roy P, Claude J-B, Tiwari S, Barulin A, Wenger J. Ultraviolet nanophotonics enables autofluorescence correlation spectroscopy on label-free proteins with a single tryptophan. Nano Lett. 2023;23:497–504. doi: 10.1021/acs.nanolett.2c03797. [DOI] [PubMed] [Google Scholar]
- 55.Abudayyeh, H. et al. Single photon sources with near unity collection efficiencies by deterministic placement of quantum dots in nanoantennas. APL Photonics6, 036109 (2021).
- 56.Baibakov M, et al. Zero-mode waveguides can be made better: fluorescence enhancement with rectangular aluminum nanoapertures from the visible to the deep ultraviolet. Nanoscale Adv. 2020;2:4153–4160. doi: 10.1039/D0NA00366B. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Feldman H, et al. Fluorophore spectroscopy in aqueous glycerol solution: the interactions of glycerol with the fluorophore. Photochem. Photobiol. Sci. 2021;20:1397–1418. doi: 10.1007/s43630-021-00096-w. [DOI] [PubMed] [Google Scholar]
- 58.Costa CQV, et al. Fluorescence sensing of microplastics on surfaces. Environ. Chem. Lett. 2021;19:1797–1802. doi: 10.1007/s10311-020-01136-0. [DOI] [Google Scholar]
- 59.Gigault J, et al. Current opinion: What is a nanoplastic? Environ. Pollut. 2018;235:1030–1034. doi: 10.1016/j.envpol.2018.01.024. [DOI] [PubMed] [Google Scholar]
- 60.Schwaferts C, Niessner R, Elsner M, Ivleva NP. Methods for the analysis of submicrometer-and nanoplastic particles in the environment. TrAC Trends Anal. Chem. 2019;112:52–65. doi: 10.1016/j.trac.2018.12.014. [DOI] [Google Scholar]
- 61.Miller, O. & Kuang, Z. Fundamental limits for large-area meta-optics. in Freeform Optics JTu6A-6 (Optica Publishing Group, 2021).
- 62.Badloe T, Kim I, Kim Y, Kim J, Rho J. Electrically tunable bifocal metalens with diffraction-limited focusing and imaging at visible wavelengths. Adv. Sci. 2021;8:2102646. doi: 10.1002/advs.202102646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kim I, et al. Stimuli-responsive dynamic metaholographic displays with designer liquid crystal modulators. Adv. Mater. 2020;32:2004664. doi: 10.1002/adma.202004664. [DOI] [PubMed] [Google Scholar]
- 64.Badloe T, et al. Liquid crystal-powered Mie resonators for electrically tunable photorealistic color gradients and dark blacks. Light. Sci. Appl. 2022;11:118. doi: 10.1038/s41377-022-00806-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Joohoon, K. et al. Scalable manufacturing of high-index atomic layer–polymer hybrid metasurfaces for metaphotonics in the visible Nat. Mater.22, 474–481 (2023) [DOI] [PubMed]
- 66.Barbotin A, Urbančič I, Galiani S, Eggeling C, Booth M. Background reduction in STED-FCS using a bivortex phase mask. ACS Photonics. 2020;7:1742–1753. doi: 10.1021/acsphotonics.0c00388. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Koppel DE. Statistical accuracy in fluorescence correlation spectroscopy. Phys. Rev. A. 1974;10:1938. doi: 10.1103/PhysRevA.10.1938. [DOI] [Google Scholar]
- 68.Barulin A, Kim I. Hyperlens for capturing sub-diffraction nanoscale single molecule dynamics. Opt. Expr. 2023;31:12162–12174. doi: 10.1364/OE.486702. [DOI] [PubMed] [Google Scholar]
- 69.Anastasia, L. Molecular Sizing using Fluorescence Correlation Spectroscopy. (Niedersächsische Staats-und Universitätsbibliothek Göttingen, 2010).
- 70.Jiang Q, Roy P, Claude J-B, Wenger J. Single photon source from a nanoantenna-trapped single quantum dot. Nano Lett. 2021;21:7030–7036. doi: 10.1021/acs.nanolett.1c02449. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data generated in this study are available in the main text and the supplementary information. Raw data that support the findings of this study will be made available from the corresponding authors upon request.
The codes used in this study are available from the corresponding authors upon request.