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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biophysics Reports Editorial Office 2021
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.
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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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