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A web-based application of the Cellular Force Inference Toolkit (CellFIT)

dc.contributor.authorXu, Xiaojia
dc.identifier.citationXu, X. A web-based application of the Cellular Force Inference Toolkit (CellFIT). BA Honors Thesis. (2019).en_US
dc.description.abstractGiven an image of an epithelial cell sheet, CellFIT can infer cellular forces by segmenting the image into individual cells, constructing equilibrium equations for the points where cells meet at triple junctions, and finding a least-squares solution for the tensions at cell-cell interfaces. Similarly, cellular pressures can be estimated by constructing Laplace equations that relate the edge tensions, curvatures and cellular pressure differences. Despite these capabilities, the accessibility of CellFIT to scientists of all backgrounds is not yet optimized. We will present an updated web-based application of CellFIT that allows users to access the software from a browser. The updated version includes improved error handling and the implementation of additional functionality for reading and processing image stacks. Application of the web-based CellFIT to time-resolved image stacks of wound healing in Drosophila epithelia demonstrates spatial and temporal variations in cellular forces as the wounds close.en_US
dc.description.sponsorshipDepartment of Physics and Astronomy, Vanderbilt Universityen_US
dc.publisherVanderbilt University. Dept. of Physics and Astronomyen_US
dc.subjectcollective behavioren_US
dc.subjectactive matteren_US
dc.subjectwound healingen_US
dc.titleA web-based application of the Cellular Force Inference Toolkit (CellFIT)en_US
dc.description.collegeCollege of Arts and Science
dc.description.departmentDepartment of Physics and Astronomy

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