TY - JOUR
T1 - Multi-color structured illumination microscopy for live cell imaging based on the enhanced image recombination transform algorithm
AU - Zhao, Tianyu
AU - Hao, Huiwen
AU - Wang, Zhaojun
AU - Liang, Yansheng
AU - Feng, Kun
AU - He, Minru
AU - Yun, Xue
AU - Bianco, Piero R.
AU - Sun, Yujie
AU - Yao, Baoli
AU - Lei, Ming
N1 - Funding Information:
Funding. National Natural Science Foundation of China (61905189, 62005208); China Postdoctoral Science Foundation (2019M663656, 2020M673365); National Key Research and Development Program of China (2017YFC0110100); National Institutes of Health (GM100156).
Funding Information:
Acknowledgments. We are very grateful to the former member of the research team, Dr. Zhou Xing, for his original work on the IRT algorithm. We thank Chen Zhixing at Peking University for assistance with mitochondrial dye. This work was supported by the Natural Science Foundation of China (NSFC) (62005208, 61905189); China Postdoctoral Science Foundation (2020M673365, 2019M663656); National Key Research and Development Program of China (2017YFC0110100), and National Institutes of Health Grant GM100156 to PRB.
Publisher Copyright:
© 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
PY - 2021/6/1
Y1 - 2021/6/1
N2 - Structured illumination microscopy (SIM) has attracted considerable interest in superresolution, live-cell imaging because of its low light dose and high imaging speed. Obtaining a high-quality reconstruction image in SIM depends on the precise determination of the parameters of the fringe illumination pattern. The image recombination transform (IRT) algorithm is superior to other algorithms in obtaining the precise initial phase without any approximation, which is promising to provide a considerable solution to address the difficulty of initial phase estimation at low-modulation-depth conditions. However, the IRT algorithm only considers a phase shift of π/2, which limits its applications in general scenarios. In this letter, we present a general form of IRT algorithm suitable for arbitrary phase shifts, providing a powerful tool for parameter estimation in low signal-to-noise cases. To demonstrate the effectiveness of the enhanced IRT algorithm, we constructed a multicolor, structured illumination microscope and studied at super-resolution, the cargo traffic in HRPE cells, and monitored the movement of mitochondrial structures and microtubules in COS-7 cells. The custom SIM system using the enhanced IRT algorithm allows multicolor capability and a low excitation intensity fluorescence imaging less than 1 W/cm2. High-quality super-resolution images are obtained, which demonstrates the utility of this approach in imaging in the life sciences.
AB - Structured illumination microscopy (SIM) has attracted considerable interest in superresolution, live-cell imaging because of its low light dose and high imaging speed. Obtaining a high-quality reconstruction image in SIM depends on the precise determination of the parameters of the fringe illumination pattern. The image recombination transform (IRT) algorithm is superior to other algorithms in obtaining the precise initial phase without any approximation, which is promising to provide a considerable solution to address the difficulty of initial phase estimation at low-modulation-depth conditions. However, the IRT algorithm only considers a phase shift of π/2, which limits its applications in general scenarios. In this letter, we present a general form of IRT algorithm suitable for arbitrary phase shifts, providing a powerful tool for parameter estimation in low signal-to-noise cases. To demonstrate the effectiveness of the enhanced IRT algorithm, we constructed a multicolor, structured illumination microscope and studied at super-resolution, the cargo traffic in HRPE cells, and monitored the movement of mitochondrial structures and microtubules in COS-7 cells. The custom SIM system using the enhanced IRT algorithm allows multicolor capability and a low excitation intensity fluorescence imaging less than 1 W/cm2. High-quality super-resolution images are obtained, which demonstrates the utility of this approach in imaging in the life sciences.
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U2 - 10.1364/BOE.423171
DO - 10.1364/BOE.423171
M3 - Article
C2 - 34221673
AN - SCOPUS:85106380730
SN - 2156-7085
VL - 12
SP - 3474
EP - 3484
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 6
ER -