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https://doi.org/10.1038/s41467-021-22002-9
DC Field | Value | |
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dc.title | Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy | |
dc.contributor.author | Sankaran, Jagadish | |
dc.contributor.author | Balasubramanian, Harikrushnan | |
dc.contributor.author | Tang, Wai Hoh | |
dc.contributor.author | Ng, Xue Wen | |
dc.contributor.author | Röllin, Adrian | |
dc.contributor.author | Wohland, Thorsten | |
dc.date.accessioned | 2022-10-13T06:46:59Z | |
dc.date.available | 2022-10-13T06:46:59Z | |
dc.date.issued | 2021-03-19 | |
dc.identifier.citation | Sankaran, Jagadish, Balasubramanian, Harikrushnan, Tang, Wai Hoh, Ng, Xue Wen, Röllin, Adrian, Wohland, Thorsten (2021-03-19). Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy. Nature Communications 12 (1) : 1748. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-021-22002-9 | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/233071 | |
dc.description.abstract | 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. © 2021, The Author(s). | |
dc.publisher | Nature Research | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.type | Article | |
dc.contributor.department | SINGAPORE-MIT ALLIANCE | |
dc.contributor.department | BIOLOGICAL SCIENCES | |
dc.contributor.department | STATISTICS AND DATA SCIENCE | |
dc.contributor.department | BIOMEDICAL ENGINEERING | |
dc.contributor.department | OFFICE OF THE DEPUTY PRESIDENT(RES&TECH) | |
dc.description.doi | 10.1038/s41467-021-22002-9 | |
dc.description.sourcetitle | Nature Communications | |
dc.description.volume | 12 | |
dc.description.issue | 1 | |
dc.description.page | 1748 | |
Appears in Collections: | Elements Staff Publications |
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