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Open AccessJournal ArticleDOI

Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy.

TLDR
Lateral resolution that exceeds the classical diffraction limit by a factor of two is achieved by using spatially structured illumination in a wide‐field fluorescence microscope with strikingly increased clarity compared to both conventional and confocal microscopes.
Abstract
Lateral resolution that exceeds the classical diffraction limit by a factor of two is achieved by using spatially structured illumination in a wide-field fluorescence microscope. The sample is illuminated with a series of excitation light patterns, which cause normally inaccessible high-resolution information to be encoded into the observed image. The recorded images are linearly processed to extract the new information and produce a reconstruction with twice the normal resolution. Unlike confocal microscopy, the resolution improvement is achieved with no need to discard any of the emission light. The method produces images of strikingly increased clarity compared to both conventional and confocal microscopes.

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Citations
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Journal ArticleDOI

Saturated patterned excitation microscopy: a concept for optical resolution improvement

TL;DR: The theory of nonlinear patterned excitation microscopy is developed for achieving a substantial improvement in resolution by deliberate saturation of the fluorophore excited state and the effects of photon noise are included in the simulations.
Journal ArticleDOI

Nanoscale X-ray imaging

TL;DR: A review of recent work in the development of direct image-forming X-ray microscopy techniques and the relevant applications can be found in this article, including three-dimensional biological tomography, dynamical processes in magnetic nanostructures, chemical speciation studies, industrial applications related to solar cells and batteries, and studies of archaeological materials.
Journal ArticleDOI

Deep learning enables cross-modality super-resolution in fluorescence microscopy

TL;DR: This data-driven approach does not require numerical modeling of the imaging process or the estimation of a point-spread-function, and is based on training a generative adversarial network to transform diffraction-limited input images into super-resolved ones, and could serve to democratize super-resolution imaging.
Journal ArticleDOI

Fast, high-contrast imaging of animal development with scanned light sheet-based structured-illumination microscopy

TL;DR: This method discriminates the specimen-related scattered background from signal fluorescence, thereby removing out-of-focus light and optimizing the contrast of in-focus structures, and provides rapid control of the illumination pattern, exceptional imaging quality and high imaging speeds.
Journal ArticleDOI

Marker-free phase nanoscopy

TL;DR: In this paper, a quasi-2 pi-holographic detection scheme and complex deconvolution was used to obtain a lateral resolution of 90 nm. But the results were limited to the case of living dendritic spines (neurones).
References
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BookDOI

Handbook of biological confocal microscopy

TL;DR: Methods for Three-Dimensional Imaging and Tutorial on Practical Confocal Microscopy and Use of the Confocal Test Specimen.
Journal ArticleDOI

Method of obtaining optical sectioning by using structured light in a conventional microscope

TL;DR: A simple method of obtaining optical sectioning in a conventional wide-field microscope by projecting a single-spatial-frequency grid pattern onto the object and processing images that are substantially similar to those obtained with confocal microscopes is described.
Journal ArticleDOI

Subdiffraction resolution in far-field fluorescence microscopy.

TL;DR: The resolution limit of scanning far-field fluorescence microscopy is overcame by disabling the fluorescence from the outer part of the focal spot by a spatially offset pulse.
Book ChapterDOI

Fluorescence microscopy in three dimensions.

TL;DR: This chapter has discussed the nature of image formation in three dimensions and dealt with several means to remove contaminating out-of-focus information and developed a method for extremely rapidly and accurately producing an in-focus, high-resolution "synthetic projection" image from a thick specimen.
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