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Advances in High-Speed Structured Illumination Microscopy

期刊

FRONTIERS IN PHYSICS
卷 9, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fphy.2021.672555

关键词

fluorescence microscopy; super-resolution; SIM; hardware acceleration of deep learning; image reconstructed algorithm

资金

  1. Natural Science Foundation of China (NSFC) [61905189, 62005208]
  2. China Postdoctoral Science Foundation [2019M663656, 2020M673365]
  3. National Key Research and Development Program of China [2017YFC0110100]
  4. National Institutes of Health [GM100156]

向作者/读者索取更多资源

Recent developments in SIM technology aim to improve overall speed by enhancing imaging acquisition and reconstruction processes, with the potential to meet the demands of live-cell imaging.
Super-resolution microscopy surpasses the diffraction limit to enable the observation of the fine details in sub-cellular structures and their dynamics in diverse biological processes within living cells. Structured illumination microscopy (SIM) uses a relatively low illumination light power compared with other super-resolution microscopies and has great potential to meet the demands of live-cell imaging. However, the imaging acquisition and reconstruction speeds limit its further applications. In this article, recent developments all targeted at improving the overall speed of SIM are reviewed. These comprise both hardware and software improvements, which include a reduction in the number of raw images, GPU acceleration, deep learning and the spatial domain reconstruction. We also discuss the application of these developments in live-cell imaging.

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