Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-021-22002-9
Title: Simultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy
Authors: Sankaran, Jagadish 
Balasubramanian, Harikrushnan 
Tang, Wai Hoh 
Ng, Xue Wen 
Röllin, Adrian 
Wohland, Thorsten 
Issue Date: 19-Mar-2021
Publisher: Nature Research
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
Rights: Attribution 4.0 International
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).
Source Title: Nature Communications
URI: https://scholarbank.nus.edu.sg/handle/10635/233071
ISSN: 2041-1723
DOI: 10.1038/s41467-021-22002-9
Rights: Attribution 4.0 International
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