Haralick's texture analysis to predict cellular proliferation on randomly oriented electrospun nanomaterials

Using a computer vision approach we have extracted the Haralick's texture features of randomly oriented electrospun nanomaterials in order to predict the proliferative behavior of cells which were subsequently seeded onto the nanosurfaces.

Detalles Bibliográficos
Autores principales: Bloise, Nora, Fassina, Lorenzo, Focarete, Maria Letizia, Lotti, Nadia, Visai, Livia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2022
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419736/
https://www.ncbi.nlm.nih.gov/pubmed/36133676
http://dx.doi.org/10.1039/d1na00890k
Descripción
Sumario:Using a computer vision approach we have extracted the Haralick's texture features of randomly oriented electrospun nanomaterials in order to predict the proliferative behavior of cells which were subsequently seeded onto the nanosurfaces.

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