Epifluorescence-based three-dimensional traction force microscopy

dc.contributor.authorHazlett, Lauren
dc.contributor.authorLandauer, Alexander K.
dc.contributor.authorPatel, Mohak
dc.contributor.authorWitt, Hadley
dc.contributor.authorYang, Jin
dc.contributor.authorReichner, Jonathan
dc.contributor.authorFranck, Christian
dc.date.accessioned2020-06-23T16:16:22Z
dc.date.available2020-06-23T16:16:22Z
dc.date.issued2020
dc.descriptionThe datasets presented here are intended to be used with the Single-Layer-3D-TFM Matlab and FEniCS code package on the Franck Lab Github page (https://github.com/FranckLab). The datasets include: an example dataset for new users to practice using the code along with the experimental rigid displacement data, synthetic traction validation cases, and experimental cell traction data which can be used to reproduce the figures in the publication.en_US
dc.description.abstractWe introduce a novel method to compute three-dimensional (3D) displacements and both in-plane and out-of-plane tractions on nominally planar transparent materials using standard epifluorescence microscopy. Despite the importance of out-of-plane components to fully understand cell behavior, epifluorescence images are generally not used for 3D traction force microscopy (TFM) experiments due to limitations in spatial resolution and measuring out-of-plane motion. To extend an epifluorescence-based technique to 3D, we employ a topology-based single particle tracking algorithm to reconstruct high spatial-frequency 3D motion fields from densely seeded single-particle layer images. Using an open-source finite element (FE) based solver, we then compute the 3D full-field stress and strain and surface traction fields. We demonstrate this technique by measuring tractions generated by both single human neutrophils and multicellular monolayers of Madin-Darby canine kidney cells, highlighting its acuity in reconstructing both individual and collective cellular tractions. In summary, this represents a new, easily accessible method for calculating fully three-dimensional displacement and 3D surface tractions at high spatial frequency from epifluorescence images. We released and support the complete technique as a free and open-source code package.en_US
dc.description.sponsorshipThe authors gratefully acknowledge project support from the NIH through NIH/BMBI R01-AI116629-01 and direct support for H.W. via NIH/NIDCR F31DE02874.en_US
dc.identifier.urihttp://digital.library.wisc.edu/1793/80302
dc.language.isoen_USen_US
dc.subjecttraction force microscopyen_US
dc.subjectepifluorescence microscopyen_US
dc.subjectfinite element analysisen_US
dc.subjectneutrophilsen_US
dc.subjectMadin-Darby canine kidney (MDCK) cellsen_US
dc.subjectcollective cell forcesen_US
dc.titleEpifluorescence-based three-dimensional traction force microscopyen_US
dc.typeDataseten_US

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cell_data.zip
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Cell traction datasets from MDCK cell cluster and individual neutrophils
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Practice synthetic datasets
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Synthetic applied force datasets for validating traction field reconstruction
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Experimental rigid displacement data (used with rigid_disp_data_deconv.zip)
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Experimental rigid displacement data (used with rigid_disp_data.zip)

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