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Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy
Super-resolution microscopy and single molecule fluorescence spectroscopy require mutually exclusive experimental strategies optimizing either temporal or spatial resolution. To achieve both, we implement a GPU-supported, camera-based measurement strategy that highly resolves spatial structures (~10...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979808/ https://www.ncbi.nlm.nih.gov/pubmed/33741958 http://dx.doi.org/10.1038/s41467-021-22002-9 |
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author | Sankaran, Jagadish Balasubramanian, Harikrushnan Tang, Wai Hoh Ng, Xue Wen Röllin, Adrian Wohland, Thorsten |
author_facet | Sankaran, Jagadish Balasubramanian, Harikrushnan Tang, Wai Hoh Ng, Xue Wen Röllin, Adrian Wohland, Thorsten |
author_sort | Sankaran, Jagadish |
collection | PubMed |
description | Super-resolution microscopy and single molecule fluorescence spectroscopy require mutually exclusive experimental strategies optimizing either temporal or spatial resolution. To achieve both, we implement a GPU-supported, camera-based measurement strategy that highly resolves spatial structures (~100 nm), temporal dynamics (~2 ms), and molecular brightness from the exact same data set. Simultaneous super-resolution of spatial and temporal details leads to an improved precision in estimating the diffusion coefficient of the actin binding polypeptide Lifeact and corrects structural artefacts. Multi-parametric analysis of epidermal growth factor receptor (EGFR) and Lifeact suggests that the domain partitioning of EGFR is primarily determined by EGFR-membrane interactions, possibly sub-resolution clustering and inter-EGFR interactions but is largely independent of EGFR-actin interactions. These results demonstrate that pixel-wise cross-correlation of parameters obtained from different techniques on the same data set enables robust physicochemical parameter estimation and provides biological knowledge that cannot be obtained from sequential measurements. |
format | Online Article Text |
id | pubmed-7979808 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79798082021-04-16 Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy Sankaran, Jagadish Balasubramanian, Harikrushnan Tang, Wai Hoh Ng, Xue Wen Röllin, Adrian Wohland, Thorsten Nat Commun Article Super-resolution microscopy and single molecule fluorescence spectroscopy require mutually exclusive experimental strategies optimizing either temporal or spatial resolution. To achieve both, we implement a GPU-supported, camera-based measurement strategy that highly resolves spatial structures (~100 nm), temporal dynamics (~2 ms), and molecular brightness from the exact same data set. Simultaneous super-resolution of spatial and temporal details leads to an improved precision in estimating the diffusion coefficient of the actin binding polypeptide Lifeact and corrects structural artefacts. Multi-parametric analysis of epidermal growth factor receptor (EGFR) and Lifeact suggests that the domain partitioning of EGFR is primarily determined by EGFR-membrane interactions, possibly sub-resolution clustering and inter-EGFR interactions but is largely independent of EGFR-actin interactions. These results demonstrate that pixel-wise cross-correlation of parameters obtained from different techniques on the same data set enables robust physicochemical parameter estimation and provides biological knowledge that cannot be obtained from sequential measurements. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979808/ /pubmed/33741958 http://dx.doi.org/10.1038/s41467-021-22002-9 Text en © The Author(s) 2021 Open Access 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Sankaran, Jagadish Balasubramanian, Harikrushnan Tang, Wai Hoh Ng, Xue Wen Röllin, Adrian Wohland, Thorsten Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title_full | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title_fullStr | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title_full_unstemmed | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title_short | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
title_sort | simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979808/ https://www.ncbi.nlm.nih.gov/pubmed/33741958 http://dx.doi.org/10.1038/s41467-021-22002-9 |
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