Mean deformation metrics for quantifying 3D cell-matrix interactions

Abstract eng:
Investigations in mechanobiology rely in large part 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. This restricts the use of these techniques to material systems for which the user can accurately determine material properties. 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. We show through rigorous validation and an application to a neutrophil disease model that such an approach produces both accurate and biologically significant information similar to traditional force-focused approaches.

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