High-speed image reconstruction for optically sectioned, super-resolution structured illumination microscopy

• Published in: Advanced photonics Vol. 4; no. 2; p. 026003
• Main Authors: Wang, Zhaojun, Zhao, Tianyu, Hao, Huiwen, Cai, Yanan, Feng, Kun, Yun, Xue, Liang, Yansheng, Wang, Shaowei, Sun, Yujie, Bianco, Piero R, Oh, Kwangsung, Lei, Ming
• Format: Journal Article
• Language: English
• Published: Bellingham Society of Photo-Optical Instrumentation Engineers 01.03.2022; S P I E - International Society for
• Subjects: Algorithms; Fourier transforms; Illumination; Image reconstruction; Microscopy; Spatial resolution; Workflow; mitochondrial tubulation; real-time structured illumination microscopy; live-cell imaging; microtubule dynamics; high-speed image reconstruction
• ISSN: 2577-5421; 2577-5421
• DOI: 10.1117/1.AP.4.2.026003

Super-resolution structured illumination microscopy (SR-SIM) is an outstanding method for visualizing the subcellular dynamics in living cells. To date, by using elaborately designed systems and algorithms, SR-SIM can achieve rapid, optically sectioned, SR observation with hundreds to thousands of time points. However, real-time observation is still out of reach for most SIM setups as conventional algorithms for image reconstruction involve a heavy computing burden. To address this limitation, an accelerated reconstruction algorithm was developed by implementing a simplified workflow for SR-SIM, termed joint space and frequency reconstruction. This algorithm results in an 80-fold improvement in reconstruction speed relative to the widely used Wiener-SIM. Critically, the increased processing speed does not come at the expense of spatial resolution or sectioning capability, as demonstrated by live imaging of microtubule dynamics and mitochondrial tubulation.