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dc.contributor.authorMeek, Andrew Thomas
dc.contributor.authorKronenberg, Nils Michael
dc.contributor.authorMorton, Andrew
dc.contributor.authorLiehm, Philipp
dc.contributor.authorMurawski, Jan
dc.contributor.authorDalaka, Eleni
dc.contributor.authorBooth, Jonathan Hunter
dc.contributor.authorPowis, Simon John
dc.contributor.authorGather, Malte Christian
dc.date.accessioned2021-06-15T12:30:06Z
dc.date.available2021-06-15T12:30:06Z
dc.date.issued2021-06-11
dc.identifier.citationMeek , A T , Kronenberg , N M , Morton , A , Liehm , P , Murawski , J , Dalaka , E , Booth , J H , Powis , S J & Gather , M C 2021 , ' Real-time imaging of cellular forces using optical interference ' , Nature Communications , vol. 12 , 3552 . https://doi.org/10.1038/s41467-021-23734-4en
dc.identifier.issn2041-1723
dc.identifier.otherPURE: 273902502
dc.identifier.otherPURE UUID: 5e7dbb60-20c1-49c2-b3e2-da7ee3381c9a
dc.identifier.otherORCID: /0000-0003-4218-2984/work/95772297
dc.identifier.otherORCID: /0000-0002-4857-5562/work/95772548
dc.identifier.otherORCID: /0000-0003-3306-7466/work/95772720
dc.identifier.otherWOS: 000663756500001
dc.identifier.otherScopus: 85107739075
dc.identifier.urihttp://hdl.handle.net/10023/23363
dc.descriptionFunding: This research was financially supported by an EPSRC Programme Grant (EP/P030017/1), by the European Research Council under the European Union’s Horizon 2020 Framework Programme (ERC StG ABLASE, 640012), and by the EPSRC Doctoral Training Partnership (EP/M508214/1, EP/L505079/1). M.C.G. acknowledges funding from the Alexander von Humboldt Stiftung (Humboldt-Professorship).en
dc.description.abstractImportant dynamic processes in mechanobiology remain elusive due to a lack of tools to image the small cellular forces at play with sufficient speed and throughput. Here, we introduce a fast, interference-based force imaging method that uses the illumination of an elastic deformable microcavity with two rapidly alternating wavelengths to map forces. We show real-time acquisition and processing of data, obtain images of mechanical activity while scanning across a cell culture, and investigate sub-second fluctuations of the piconewton forces exerted by macrophage podosomes. We also demonstrate force imaging of beating neonatal cardiomyocytes at 100 fps which reveals mechanical aspects of spontaneous oscillatory contraction waves in between the main contraction cycles. These examples illustrate the wider potential of our technique for monitoring cellular forces with high throughput and excellent temporal resolution.
dc.format.extent11
dc.language.isoeng
dc.relation.ispartofNature Communicationsen
dc.rightsCopyright © The Author(s) 2021. 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.en
dc.subjectCell adhesionen
dc.subjectCellular imaginingen
dc.subjectIMagining techniquesen
dc.subjectInterference microscopyen
dc.subjectQH301 Biologyen
dc.subjectQC Physicsen
dc.subjectT Technologyen
dc.subjectDASen
dc.subject.lccQH301en
dc.subject.lccQCen
dc.subject.lccTen
dc.titleReal-time imaging of cellular forces using optical interferenceen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Physics and Astronomyen
dc.contributor.institutionUniversity of St Andrews.Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews.School of Medicineen
dc.contributor.institutionUniversity of St Andrews.St Andrews Bioinformatics Uniten
dc.identifier.doihttps://doi.org/10.1038/s41467-021-23734-4
dc.description.statusPeer revieweden


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