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

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 por...

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Detalles Bibliográficos
Autores principales: Tourlomousis, Filippos, Jia, Chao, Karydis, Thrasyvoulos, Mershin, Andreas, Wang, Hongjun, Kalyon, Dilhan M., Chang, Robert C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431680/
https://www.ncbi.nlm.nih.gov/pubmed/31057942
http://dx.doi.org/10.1038/s41378-019-0055-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431680/
https://www.ncbi.nlm.nih.gov/pubmed/31057942
http://dx.doi.org/10.1038/s41378-019-0055-4

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