Haralick's texture analysis to predict cellular proliferation on randomly oriented electrospun nanomaterials
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Nora Bloise1,2, Lorenzo Fassina3, Maria Letizia Focarete4
1Department of Molecular Medicine, Centre for Health Technologies (CHT), INSTM UdR of Pavia, University of Pavia 27100 Pavia Italy livia.visai@unipv.it.
Nanoscale Advances
|September 22, 2022
Abstract:
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.
