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Blind sparse inpainting reveals cytoskeletal filaments with sub-Nyquist localization.


ABSTRACT: Single-molecule localization microscopy (SMLM), such as stochastic optical reconstruction microscopy and (fluorescence) photoactivated localization microscopy, has enabled superresolution microscopy beyond the diffraction limit. However, the temporal resolution of SMLM is limited by the time needed to acquire sufficient sparse single-molecule activation events to successfully construct a superresolution image. Here, a novel fast SMLM technique is developed to achieve superresolution imaging within a much shortened duration. This technique does not require a faster switching rate or a higher activation density, which may cause signal degradation or photodamage/bleaching, but relies on computational algorithms to reconstruct a high-density superresolution image from a low-density one using the concept of blind image inpainting. Our results demonstrate that the technique reduces the acquisition time by up to two orders of magnitude compared to the conventional method while achieving the same high resolution. We anticipate our technique to enable future real-time live cell imaging with even higher resolution.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC6179357 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Blind sparse inpainting reveals cytoskeletal filaments with sub-Nyquist localization.

Wang Yanhua Y   Jia Shu S   Zhang Hao F HF   Kim Doory D   Babcock Hazen H   Zhuang Xiaowei X   Ying Leslie L  

Optica 20171012 10


Single-molecule localization microscopy (SMLM), such as stochastic optical reconstruction microscopy and (fluorescence) photoactivated localization microscopy, has enabled superresolution microscopy beyond the diffraction limit. However, the temporal resolution of SMLM is limited by the time needed to acquire sufficient sparse single-molecule activation events to successfully construct a superresolution image. Here, a novel fast SMLM technique is developed to achieve superresolution imaging with  ...[more]

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