Machine learning metrology of cell confinement in melt electrowritten three-dimensional biomaterial substrates.

ABSTRACT: Tuning cell shape by altering the biophysical properties of biomaterial substrates on which cells operate would provide a potential shape-driven pathway to control cell phenotype. However, there is an unexplored dimensional scale window of three-dimensional (3D) substrates with precisely tunable porous microarchitectures and geometrical feature sizes at the cell's operating length scales (10-100 μm). This paper demonstrates the fabrication of such high-fidelity fibrous substrates using a melt electrowriting (MEW) technique. This advanced manufacturing approach is biologically qualified with a metrology framework that models and classifies cell confinement states under various substrate dimensionalities and architectures. Using fibroblasts as a model cell system, the mechanosensing response

SUBMITTER: Tourlomousis F 

PROVIDER: S-EPMC6431680 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature