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• W2292072720 abstract "Significance Investigations in mechanobiology rely on correlation of cellular processes with mechanical signals, such as matrix stiffness and cell tractions. Almost all cell traction and force quantification methodologies require knowledge of the underlying mechanical properties of the extracellular matrix to convert displacement data into corresponding traction data, which restricts the use of these techniques to systems in which the material properties are known. To overcome this hurdle, we present a new approach that does not require any knowledge of the underlying matrix properties but rather makes use of the intrinsically recorded kinematic displacement data. Through rigorous validation and an application to a neutrophil disease model, we show that such an approach produces both accurate and biologically significant information." @default.
• W2292072720 created "2016-06-24" @default.
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• W2292072720 date "2016-02-29" @default.
• W2292072720 modified "2023-10-14" @default.
• W2292072720 title "Mean deformation metrics for quantifying 3D cell–matrix interactions without requiring information about matrix material properties" @default.
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• W2292072720 doi "https://doi.org/10.1073/pnas.1510935113" @default.
• W2292072720 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4801239" @default.
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