Advances in High-Speed Structured Illumination Microscopy

Frontiers in Physics

Tongsheng Chen¹  Piero R. Bianco²  Zhaojun Wang³  Baoli Yao⁴  Ming Lei⁴  Tianyu Zhao⁵ 

[1] Guangzhou, China;Omaha, NE, United States;Xi’an, China;Xi’an, China;Beijing, China;Xi’an, China;Xi’an, China;Beijing, China;

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

DOI  :  10.3389/fphy.2021.672555

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY