Please use this identifier to cite or link to this item: https://doi.org/10.1038/s41467-021-22002-9
DC FieldValue
dc.titleSimultaneous spatiotemporal super-resolution and multi-parametric fluorescence microscopy
dc.contributor.authorSankaran, Jagadish
dc.contributor.authorBalasubramanian, Harikrushnan
dc.contributor.authorTang, Wai Hoh
dc.contributor.authorNg, Xue Wen
dc.contributor.authorRöllin, Adrian
dc.contributor.authorWohland, Thorsten
dc.date.accessioned2022-10-13T06:46:59Z
dc.date.available2022-10-13T06:46:59Z
dc.date.issued2021-03-19
dc.identifier.citationSankaran, 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.issn2041-1723
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/233071
dc.description.abstractSuper-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.publisherNature Research
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceScopus OA2021
dc.typeArticle
dc.contributor.departmentSINGAPORE-MIT ALLIANCE
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.contributor.departmentSTATISTICS AND DATA SCIENCE
dc.contributor.departmentBIOMEDICAL ENGINEERING
dc.contributor.departmentOFFICE OF THE DEPUTY PRESIDENT(RES&TECH)
dc.description.doi10.1038/s41467-021-22002-9
dc.description.sourcetitleNature Communications
dc.description.volume12
dc.description.issue1
dc.description.page1748
Appears in Collections:Elements
Staff Publications

Show simple item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
10_1038_s41467-021-22002-9.pdf4.11 MBAdobe PDF

OPEN

NoneView/Download

Google ScholarTM

Check

Altmetric


This item is licensed under a Creative Commons License Creative Commons