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PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell
When imaging the nucleus structure of a cell, the out-of-focus fluorescence acts as background and hinders the detection of weak signals. Light-sheet fluorescence microscopy (LSFM) is a wide-field imaging approach which has the best of both background removal and imaging speed. However, the commonly...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biophysics Reports Editorial Office
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233473/ https://www.ncbi.nlm.nih.gov/pubmed/37287761 http://dx.doi.org/10.52601/bpr.2021.210014 |
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author | Xue, Boxin Zhou, Caiwei Qin, Yizhi Li, Yongzheng Sun, Yuao Chang, Lei Shao, Shipeng Li, Yongliang Zhang, Mengling Sun, Chaoying He, Renxi Peter Su, Qian Sun, Yujie |
author_facet | Xue, Boxin Zhou, Caiwei Qin, Yizhi Li, Yongzheng Sun, Yuao Chang, Lei Shao, Shipeng Li, Yongliang Zhang, Mengling Sun, Chaoying He, Renxi Peter Su, Qian Sun, Yujie |
author_sort | Xue, Boxin |
collection | PubMed |
description | When imaging the nucleus structure of a cell, the out-of-focus fluorescence acts as background and hinders the detection of weak signals. Light-sheet fluorescence microscopy (LSFM) is a wide-field imaging approach which has the best of both background removal and imaging speed. However, the commonly adopted orthogonal excitation/detection scheme is hard to be applied to single-cell imaging due to steric hindrance. For LSFMs capable of high spatiotemporal single-cell imaging, the complex instrument design and operation largely limit their throughput of data collection. Here, we propose an approach for high-throughput background-free fluorescence imaging of single cells facilitated by the Immersion Tilted Light Sheet Microscopy (ImTLSM). ImTLSM is based on a light-sheet projected off the optical axis of a water immersion objective. With the illumination objective and the detection objective placed opposingly, ImTLSM can rapidly patrol and optically section multiple individual cells while maintaining single-molecule detection sensitivity and resolution. Further, the simplicity and robustness of ImTLSM in operation and maintenance enables high-throughput image collection to establish background removal datasets for deep learning. Using a deep learning model to train the mapping from epi-illumination images to ImTLSM illumination images, namely PN-ImTLSM, we demonstrated cross-modality fluorescence imaging, transforming the epi-illumination image to approach the background removal performance obtained with ImTLSM. We demonstrated that PN-ImTLSM can be generalized to large-field homogeneous illumination imaging, thereby further improving the imaging throughput. In addition, compared to commonly used background removal methods, PN-ImTLSM showed much better performance for areas where the background intensity changes sharply in space, facilitating high-density single-molecule localization microscopy. In summary, PN-ImTLSM paves the way for background-free fluorescence imaging on ordinary inverted microscopes. |
format | Online Article Text |
id | pubmed-10233473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Biophysics Reports Editorial Office |
record_format | MEDLINE/PubMed |
spelling | pubmed-102334732023-06-07 PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell Xue, Boxin Zhou, Caiwei Qin, Yizhi Li, Yongzheng Sun, Yuao Chang, Lei Shao, Shipeng Li, Yongliang Zhang, Mengling Sun, Chaoying He, Renxi Peter Su, Qian Sun, Yujie Biophys Rep Research Article When imaging the nucleus structure of a cell, the out-of-focus fluorescence acts as background and hinders the detection of weak signals. Light-sheet fluorescence microscopy (LSFM) is a wide-field imaging approach which has the best of both background removal and imaging speed. However, the commonly adopted orthogonal excitation/detection scheme is hard to be applied to single-cell imaging due to steric hindrance. For LSFMs capable of high spatiotemporal single-cell imaging, the complex instrument design and operation largely limit their throughput of data collection. Here, we propose an approach for high-throughput background-free fluorescence imaging of single cells facilitated by the Immersion Tilted Light Sheet Microscopy (ImTLSM). ImTLSM is based on a light-sheet projected off the optical axis of a water immersion objective. With the illumination objective and the detection objective placed opposingly, ImTLSM can rapidly patrol and optically section multiple individual cells while maintaining single-molecule detection sensitivity and resolution. Further, the simplicity and robustness of ImTLSM in operation and maintenance enables high-throughput image collection to establish background removal datasets for deep learning. Using a deep learning model to train the mapping from epi-illumination images to ImTLSM illumination images, namely PN-ImTLSM, we demonstrated cross-modality fluorescence imaging, transforming the epi-illumination image to approach the background removal performance obtained with ImTLSM. We demonstrated that PN-ImTLSM can be generalized to large-field homogeneous illumination imaging, thereby further improving the imaging throughput. In addition, compared to commonly used background removal methods, PN-ImTLSM showed much better performance for areas where the background intensity changes sharply in space, facilitating high-density single-molecule localization microscopy. In summary, PN-ImTLSM paves the way for background-free fluorescence imaging on ordinary inverted microscopes. Biophysics Reports Editorial Office 2021-08-31 /pmc/articles/PMC10233473/ /pubmed/37287761 http://dx.doi.org/10.52601/bpr.2021.210014 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Xue, Boxin Zhou, Caiwei Qin, Yizhi Li, Yongzheng Sun, Yuao Chang, Lei Shao, Shipeng Li, Yongliang Zhang, Mengling Sun, Chaoying He, Renxi Peter Su, Qian Sun, Yujie PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title | PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title_full | PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title_fullStr | PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title_full_unstemmed | PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title_short | PN-ImTLSM facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
title_sort | pn-imtlsm facilitates high-throughput low background single-molecule localization microscopy deep in the cell |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10233473/ https://www.ncbi.nlm.nih.gov/pubmed/37287761 http://dx.doi.org/10.52601/bpr.2021.210014 |
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