Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen

Abstract Traction force microscopy (TFM) is an important family of techniques used to measure and study the role of cellular traction forces (CTFs) associated with many biological processes. However, current standard TFM methods rely on imaging techniques that do not provide the experimental capabil...

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Autores principales: Jeffrey A. Mulligan, Lu Ling, Nichaluk Leartprapun, Claudia Fischbach, Steven G. Adie
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/a8c026d09ab44f1d9c51a8de9a67ff36
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spelling oai:doaj.org-article:a8c026d09ab44f1d9c51a8de9a67ff362021-12-02T14:06:31ZComputational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen10.1038/s41598-021-81470-72045-2322https://doaj.org/article/a8c026d09ab44f1d9c51a8de9a67ff362021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81470-7https://doaj.org/toc/2045-2322Abstract Traction force microscopy (TFM) is an important family of techniques used to measure and study the role of cellular traction forces (CTFs) associated with many biological processes. However, current standard TFM methods rely on imaging techniques that do not provide the experimental capabilities necessary to study CTFs within 3D collective and dynamic systems embedded within optically scattering media. Traction force optical coherence microscopy (TF-OCM) was developed to address these needs, but has only been demonstrated for the study of isolated cells embedded within optically clear media. Here, we present computational 4D-OCM methods that enable the study of dynamic invasion behavior of large tumor spheroids embedded in collagen. Our multi-day, time-lapse imaging data provided detailed visualizations of evolving spheroid morphology, collagen degradation, and collagen deformation, all using label-free scattering contrast. These capabilities, which provided insights into how stromal cells affect cancer progression, significantly expand access to critical data about biophysical interactions of cells with their environment, and lay the foundation for future efforts toward volumetric, time-lapse reconstructions of collective CTFs with TF-OCM.Jeffrey A. MulliganLu LingNichaluk LeartprapunClaudia FischbachSteven G. AdieNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jeffrey A. Mulligan
Lu Ling
Nichaluk Leartprapun
Claudia Fischbach
Steven G. Adie
Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
description Abstract Traction force microscopy (TFM) is an important family of techniques used to measure and study the role of cellular traction forces (CTFs) associated with many biological processes. However, current standard TFM methods rely on imaging techniques that do not provide the experimental capabilities necessary to study CTFs within 3D collective and dynamic systems embedded within optically scattering media. Traction force optical coherence microscopy (TF-OCM) was developed to address these needs, but has only been demonstrated for the study of isolated cells embedded within optically clear media. Here, we present computational 4D-OCM methods that enable the study of dynamic invasion behavior of large tumor spheroids embedded in collagen. Our multi-day, time-lapse imaging data provided detailed visualizations of evolving spheroid morphology, collagen degradation, and collagen deformation, all using label-free scattering contrast. These capabilities, which provided insights into how stromal cells affect cancer progression, significantly expand access to critical data about biophysical interactions of cells with their environment, and lay the foundation for future efforts toward volumetric, time-lapse reconstructions of collective CTFs with TF-OCM.
format article
author Jeffrey A. Mulligan
Lu Ling
Nichaluk Leartprapun
Claudia Fischbach
Steven G. Adie
author_facet Jeffrey A. Mulligan
Lu Ling
Nichaluk Leartprapun
Claudia Fischbach
Steven G. Adie
author_sort Jeffrey A. Mulligan
title Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
title_short Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
title_full Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
title_fullStr Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
title_full_unstemmed Computational 4D-OCM for label-free imaging of collective cell invasion and force-mediated deformations in collagen
title_sort computational 4d-ocm for label-free imaging of collective cell invasion and force-mediated deformations in collagen
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a8c026d09ab44f1d9c51a8de9a67ff36
work_keys_str_mv AT jeffreyamulligan computational4docmforlabelfreeimagingofcollectivecellinvasionandforcemediateddeformationsincollagen
AT luling computational4docmforlabelfreeimagingofcollectivecellinvasionandforcemediateddeformationsincollagen
AT nichalukleartprapun computational4docmforlabelfreeimagingofcollectivecellinvasionandforcemediateddeformationsincollagen
AT claudiafischbach computational4docmforlabelfreeimagingofcollectivecellinvasionandforcemediateddeformationsincollagen
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