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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2021
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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. |
format | Online Article Text |
id | pubmed-8054977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
record_format | MEDLINE/PubMed |
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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