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Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain

Super-resolution structured illumination microscopy (SIM) routinely performs image reconstruction in the frequency domain using an approach termed frequency-domain reconstruction (FDR). Due to multiple Fourier transforms between the spatial and frequency domains, SIM suffers from low reconstruction...

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Autores principales: Dan, Dan, Wang, Zhaojun, Zhou, Xing, Lei, Ming, Zhao, Tianyu, Qian, Jia, Yu, Xianghua, Yan, Shaohui, Min, Junwei, Bianco, Piero R., Yao, Baoli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054977/
https://www.ncbi.nlm.nih.gov/pubmed/33880138
http://dx.doi.org/10.1109/JPHOT.2021.3053110
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author Dan, Dan
Wang, Zhaojun
Zhou, Xing
Lei, Ming
Zhao, Tianyu
Qian, Jia
Yu, Xianghua
Yan, Shaohui
Min, Junwei
Bianco, Piero R.
Yao, Baoli
author_facet Dan, Dan
Wang, Zhaojun
Zhou, Xing
Lei, Ming
Zhao, Tianyu
Qian, Jia
Yu, Xianghua
Yan, Shaohui
Min, Junwei
Bianco, Piero R.
Yao, Baoli
author_sort Dan, Dan
collection PubMed
description Super-resolution structured illumination microscopy (SIM) routinely performs image reconstruction in the frequency domain using an approach termed frequency-domain reconstruction (FDR). Due to multiple Fourier transforms between the spatial and frequency domains, SIM suffers from low reconstruction speed, constraining its applications in real-time, dynamic imaging. To overcome this limitation, we developed a new method for SIM image reconstruction, termed spatial domain reconstruction (SDR). SDR is intrinsically simpler than FDR, does not require Fourier transforms and the theory predicts it to be a rapid image reconstruction method. Results show that SDR reconstructs a super-resolution image 7-fold faster than FDR, producing images that are equal to either FDR or the widely-used FairSIM. We provide a proof-of-principle using mobile fluorescent beads to demonstrate the utility of SDR in imaging moving objects. Consequently, replacement of the FDR approach with SDR significantly enhances SIM as the desired method for live-cell, instant super-resolution imaging. This means that SDR-SIM is a “What You See Is What You Get” approach to super-resolution imaging.
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spelling pubmed-80549772021-04-19 Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain Dan, Dan Wang, Zhaojun Zhou, Xing Lei, Ming Zhao, Tianyu Qian, Jia Yu, Xianghua Yan, Shaohui Min, Junwei Bianco, Piero R. Yao, Baoli IEEE Photonics J Article Super-resolution structured illumination microscopy (SIM) routinely performs image reconstruction in the frequency domain using an approach termed frequency-domain reconstruction (FDR). Due to multiple Fourier transforms between the spatial and frequency domains, SIM suffers from low reconstruction speed, constraining its applications in real-time, dynamic imaging. To overcome this limitation, we developed a new method for SIM image reconstruction, termed spatial domain reconstruction (SDR). SDR is intrinsically simpler than FDR, does not require Fourier transforms and the theory predicts it to be a rapid image reconstruction method. Results show that SDR reconstructs a super-resolution image 7-fold faster than FDR, producing images that are equal to either FDR or the widely-used FairSIM. We provide a proof-of-principle using mobile fluorescent beads to demonstrate the utility of SDR in imaging moving objects. Consequently, replacement of the FDR approach with SDR significantly enhances SIM as the desired method for live-cell, instant super-resolution imaging. This means that SDR-SIM is a “What You See Is What You Get” approach to super-resolution imaging. 2021-01-20 2021-02 /pmc/articles/PMC8054977/ /pubmed/33880138 http://dx.doi.org/10.1109/JPHOT.2021.3053110 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Dan, Dan
Wang, Zhaojun
Zhou, Xing
Lei, Ming
Zhao, Tianyu
Qian, Jia
Yu, Xianghua
Yan, Shaohui
Min, Junwei
Bianco, Piero R.
Yao, Baoli
Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title_full Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title_fullStr Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title_full_unstemmed Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title_short Rapid Image Reconstruction of Structured Illumination Microscopy Directly in the Spatial Domain
title_sort rapid image reconstruction of structured illumination microscopy directly in the spatial domain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054977/
https://www.ncbi.nlm.nih.gov/pubmed/33880138
http://dx.doi.org/10.1109/JPHOT.2021.3053110
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