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Article

Machine learning based methodology to identify cell shape phenotypes associated with microenvironmental cues.

Biomaterials - 1 Oct 2016

Chen Desu, Sarkar Sumona, Candia Julián, Florczyk Stephen J, Bodhak Subhadip, Driscoll Meghan K, Simon Carl G, Dunkers Joy P, Losert Wolfgang

Abstract excerpt

Cell morphology has been identified as a potential indicator of stem cell response to biomaterials. However, determination of cell shape phenotype in biomaterials is complicated by heterogeneous cell populations, microenvironment heterogeneity, and multi-parametric definitions of cell morphology. To associate cell morphology with cell-material interactions, we developed a shape phenotyping framework based on...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Share to Mechanotransduction, Cellular

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Identifiers

PMID: 27449947
DOI: 10.1016/j.biomaterials.2016.06.040
PMCID: PMC11305428

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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