Super-resolution reconstruction of structured illumination microscopy based on pixel reassignment

Xing Liu; Xiang Fang; Yunze Lei; Jiaoyue Li; Sha An; Juanjuan Zheng; Ying Ma; Haiyang Ma; Zeev Zalevsky; Peng Gao

doi:https://doi.org/10.1063/5.0162381

Super-resolution reconstruction of structured illumination microscopy based on pixel reassignment

Xing Liu, Xiang Fang, Yunze Lei, Jiaoyue Li, Sha An, Juanjuan Zheng, Ying Ma, Haiyang Ma, Zeev Zalevsky, Peng Gao

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Bar-Ilan University

Research output: Contribution to journal › Article › peer-review

Abstract

In this work, we report a pixel reassignment based super-resolution reconstruction algorithm for structured illumination microscopy (entitled PR-SIM). PR-SIM provides a twofold theoretical resolution enhancement by reassigning the pixels in raw SIM images with respect to the center of each illumination fringe and applying further deconvolution. By comparing with frequency domain based algorithms, PR-SIM is more immune to fringe distortion and, hence, it is more suited for large-field SIM in that it processes the raw images locally. Meanwhile, the reconstruction speed of PR-SIM can be enhanced by skipping empty regions in the image and further enhanced by employing GPU-base parallel calculation. Overall, we can envisage that the PR-SIM can be extended for other illumination modulation based microscopic techniques.

Original language	English
Article number	131111
Journal	Applied Physics Letters
Volume	123
Issue number	13
DOIs	https://doi.org/10.1063/5.0162381
State	Published - 25 Sep 2023

All Science Journal Classification (ASJC) codes

Physics and Astronomy (miscellaneous)

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https://doi.org/10.1063/5.0162381

Cite this

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title = "Super-resolution reconstruction of structured illumination microscopy based on pixel reassignment",

abstract = "In this work, we report a pixel reassignment based super-resolution reconstruction algorithm for structured illumination microscopy (entitled PR-SIM). PR-SIM provides a twofold theoretical resolution enhancement by reassigning the pixels in raw SIM images with respect to the center of each illumination fringe and applying further deconvolution. By comparing with frequency domain based algorithms, PR-SIM is more immune to fringe distortion and, hence, it is more suited for large-field SIM in that it processes the raw images locally. Meanwhile, the reconstruction speed of PR-SIM can be enhanced by skipping empty regions in the image and further enhanced by employing GPU-base parallel calculation. Overall, we can envisage that the PR-SIM can be extended for other illumination modulation based microscopic techniques.",

author = "Xing Liu and Xiang Fang and Yunze Lei and Jiaoyue Li and Sha An and Juanjuan Zheng and Ying Ma and Haiyang Ma and Zeev Zalevsky and Peng Gao",

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T1 - Super-resolution reconstruction of structured illumination microscopy based on pixel reassignment

AU - Liu, Xing

AU - Fang, Xiang

AU - Lei, Yunze

AU - Li, Jiaoyue

AU - An, Sha

AU - Zheng, Juanjuan

AU - Ma, Ying

AU - Ma, Haiyang

AU - Zalevsky, Zeev

AU - Gao, Peng

PY - 2023/9/25

Y1 - 2023/9/25

N2 - In this work, we report a pixel reassignment based super-resolution reconstruction algorithm for structured illumination microscopy (entitled PR-SIM). PR-SIM provides a twofold theoretical resolution enhancement by reassigning the pixels in raw SIM images with respect to the center of each illumination fringe and applying further deconvolution. By comparing with frequency domain based algorithms, PR-SIM is more immune to fringe distortion and, hence, it is more suited for large-field SIM in that it processes the raw images locally. Meanwhile, the reconstruction speed of PR-SIM can be enhanced by skipping empty regions in the image and further enhanced by employing GPU-base parallel calculation. Overall, we can envisage that the PR-SIM can be extended for other illumination modulation based microscopic techniques.

AB - In this work, we report a pixel reassignment based super-resolution reconstruction algorithm for structured illumination microscopy (entitled PR-SIM). PR-SIM provides a twofold theoretical resolution enhancement by reassigning the pixels in raw SIM images with respect to the center of each illumination fringe and applying further deconvolution. By comparing with frequency domain based algorithms, PR-SIM is more immune to fringe distortion and, hence, it is more suited for large-field SIM in that it processes the raw images locally. Meanwhile, the reconstruction speed of PR-SIM can be enhanced by skipping empty regions in the image and further enhanced by employing GPU-base parallel calculation. Overall, we can envisage that the PR-SIM can be extended for other illumination modulation based microscopic techniques.

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JO - Applied Physics Letters

JF - Applied Physics Letters

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Super-resolution reconstruction of structured illumination microscopy based on pixel reassignment

Abstract

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