Super-Resolution without Imaging: Library-Based Approaches Using Near-to-Far-Field Transduction by a Nanophotonic Structure

Buijs, Robin D.; Schilder, Nick; Wolterink, Tom A. W.; Gerini, G.; Verhagen, Ewold; Koenderink, A. Femius

doi:10.1021/acsphotonics.0c01350

Cited by 9 publications

(9 citation statements)

References 56 publications

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“…Unraveling the physics of directivity control does therefore require the measurement of radiation patterns with Fourier microscopy of individual nanosources that are pinpointed in space by a super-resolution technique. It was recently shown that this idea can even be reversed: once a library of radiation patterns as a function of position is measured, one can reconstruct the location of source to within 10 nm precision simply by analyzing its radiation pattern (radiation-pattern-based localization microscopy) [113].…”

Section: Nanophotonic Parameters Of Interest For Super-resolution Ima...mentioning

confidence: 99%

Super-resolution imaging: when biophysics meets nanophotonics

et al. 2021

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Probing light–matter interaction at the nanometer scale is one of the most fascinating topics of modern optics. Its importance is underlined by the large span of fields in which such accurate knowledge of light–matter interaction is needed, namely nanophotonics, quantum electrodynamics, atomic physics, biosensing, quantum computing and many more. Increasing innovations in the field of microscopy in the last decade have pushed the ability of observing such phenomena across multiple length scales, from micrometers to nanometers. In bioimaging, the advent of super-resolution single-molecule localization microscopy (SMLM) has opened a completely new perspective for the study and understanding of molecular mechanisms, with unprecedented resolution, which take place inside the cell. Since then, the field of SMLM has been continuously improving, shifting from an initial drive for pushing technological limitations to the acquisition of new knowledge. Interestingly, such developments have become also of great interest for the study of light–matter interaction in nanostructured materials, either dielectric, metallic, or hybrid metallic-dielectric. The purpose of this review is to summarize the recent advances in the field of nanophotonics that have leveraged SMLM, and conversely to show how some concepts commonly used in nanophotonics can benefit the development of new microscopy techniques for biophysics. To this aim, we will first introduce the basic concepts of SMLM and the observables that can be measured. Then, we will link them with their corresponding physical quantities of interest in biophysics and nanophotonics and we will describe state-of-the-art experiments that apply SMLM to nanophotonics. The problem of localization artifacts due to the interaction of the fluorescent emitter with a resonant medium and possible solutions will be also discussed. Then, we will show how the interaction of fluorescent emitters with plasmonic structures can be successfully employed in biology for cell profiling and membrane organization studies. We present an outlook on emerging research directions enabled by the synergy of localization microscopy and nanophotonics.

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Section: Nanophotonic Parameters Of Interest For Super-resolution Ima...mentioning

confidence: 99%

Super-resolution imaging: when biophysics meets nanophotonics

et al. 2021

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“…The second main ingredient is that we use a highly efficient representation of the library of radiation patterns to facilitate the comparison between test and library data. This representation of the measured radiation patterns uses singular value decomposition, as previously used to localize a point source of light [17]. We note that, alternatively, the comparison between test and library data could be a task suitable to address with machine learning, provided that the library data set is sufficiently large -typically orders of magnitude larger than the number of parameter values to be distinguished.…”

Section: Localization Strategymentioning

confidence: 99%

“…Next, we calculate the match of newly acquired data A at positions i with the reference data at positions j, which we define as 1 − ‖(UΣ) j − A i V‖∕ √ 2. A high match indicates high similarity between radiation patterns [16,17]. To obtain an estimate for the object position based on the measured radiation patterns, we take the reference position that is associated with the highest match as the retrieved position.…”

Section: Localization Strategymentioning

confidence: 99%

“…To experimentally verify this technique, we first build a library of radiation patterns, placing a nanoscale object at a grid of positions near a near-field transducer and recording the radiation pattern for each object position. Next, we reconstruct the object position with subwavelength resolution solely from a measured far-field radiation pattern using a library-based approach exploiting singular value decomposition [16,17]. We show that our technique greatly benefits from employing more complex nanostructures as near-field transducers, which enables accurate retrieval of the object position across the entire transducer area.…”

Section: Introductionmentioning

confidence: 99%

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Localizing nanoscale objects using nanophotonic near-field transducers

et al. 2021

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We study how nanophotonic structures can be used for determining the position of a nearby nanoscale object with subwavelength accuracy. Through perturbing the near-field environment of a metasurface transducer consisting of nano-apertures in a metallic film, the location of the nanoscale object is transduced into the transducer’s far-field optical response. By monitoring the scattering pattern of the nanophotonic near-field transducer and comparing it to measured reference data, we demonstrate the two-dimensional localization of the object accurate to 24 nm across an area of 2 × 2 μm. We find that adding complexity to the nanophotonic transducer allows localization over a larger area while maintaining resolution, as it enables encoding more information on the position of the object in the transducer’s far-field response.

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“…However, fluorescence‐based techniques are limited to sparsely distributed sources and scanning probes have very simple and small exposure or collection volumes that necessitate slow, point‐by‐point raster‐scanning measurements. Modern inverse design approaches to computational imaging and parameter retrieval [ 20–23 ] defeat these constraints by careful modelling. Yet, these methods take up either additional complexity to account for their limited knowledge of exposure field patterns or the requirement of detailed a priori knowledge on the family of structures under study.…”

Section: Introductionmentioning

confidence: 99%

Programming Metasurface Near‐Fields for Nano‐Optical Sensing

Buijs

Wolterink

Gerini

et al. 2021

Advanced Optical Materials

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Control of optical fields at the nanoscale holds the promise of fast, efficient imaging methods, but is elusive due to the diffraction limit. This paper investigates how a single metasurface patch in the near field of a sample plane may be used to create a wide variety of intensity patterns by applying different illumination profiles from the far field. Numerical analysis shows that one metasurface patch may be used to generate complete bases of illumination patterns on a grid as fine as λ/16. The limits of control are explored in terms of degrees of freedom on the illumination side and spatial resolution on the sample side. These illumination patterns are expected to enable sub‐wavelength structured illumination microscopies, compressive imaging and sensing. Quantitative analysis of how the engineered fields may be used for detection of small scattering particles demonstrates the potential the approach holds for nanoscale optical sensing.

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Super-Resolution without Imaging: Library-Based Approaches Using Near-to-Far-Field Transduction by a Nanophotonic Structure

Cited by 9 publications

References 56 publications

Super-resolution imaging: when biophysics meets nanophotonics

Super-resolution imaging: when biophysics meets nanophotonics

Localizing nanoscale objects using nanophotonic near-field transducers

Programming Metasurface Near‐Fields for Nano‐Optical Sensing

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