TY - JOUR
T1 - High-speed image reconstruction for optically sectioned, super-resolution structured illumination microscopy
AU - Wang, Zhaojun
AU - Zhao, Tianyu
AU - Hao, Huiwen
AU - Cai, Yanan
AU - Feng, Kun
AU - Yun, Xue
AU - Liang, Yansheng
AU - Wang, Shaowei
AU - Sun, Yujie
AU - Bianco, Piero R.
AU - Oh, Kwangsung
AU - Lei, Ming
N1 - Funding Information:
We thank Dr. Xing Zhou for his great contribution to SDR. We also acknowledge Prof. Baoli Yao for his kind help and suggestions. We appreciate Zhixing Chen at Peking University for assistance with mitochondrial dye. This work was supported by the National Natural Science Foundation of China (NSFC) (Nos. 62005208, 62135003, and 61905189), Innovation Capability Support Program of Shaanxi (No. 2021TD-57), China Postdoctoral Science Foundation (Nos. 2020M673365 and 2019M663656), and National Institutes of Health Grant GM100156 to PRB. Z.W. and M.L. are applying for a patent on the JSFR-SIM method. All other authors declare they have no competing interests.
Publisher Copyright:
© The Authors. Published by SPIE and CLP under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
PY - 2022/3/1
Y1 - 2022/3/1
N2 - 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.
AB - 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.
KW - high-speed image reconstruction
KW - live-cell imaging
KW - microtubule dynamics
KW - mitochondrial tubulation
KW - real-time structured illumination microscopy
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U2 - 10.1117/1.AP.4.2.026003
DO - 10.1117/1.AP.4.2.026003
M3 - Article
AN - SCOPUS:85129868225
SN - 2577-5421
VL - 4
JO - Advanced Photonics
JF - Advanced Photonics
IS - 2
M1 - 026003
ER -