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Haralick's texture analysis to predict cellular proliferation on randomly oriented electrospun nanomaterials.
Bloise, Nora; Fassina, Lorenzo; Focarete, Maria Letizia; Lotti, Nadia; Visai, Livia.
Afiliação
  • Bloise N; Department of Molecular Medicine, Centre for Health Technologies (CHT), INSTM UdR of Pavia, University of Pavia 27100 Pavia Italy livia.visai@unipv.it.
  • Fassina L; Medicina Clinica-Specialistica, UOR5 Laboratorio di Nanotecnologie, ICS Maugeri, IRCCS 27100 Pavia Italy.
  • Focarete ML; Department of Electrical, Computer and Biomedical Engineering, Centre for Health Technologies (CHT), University of Pavia 27100 Pavia Italy.
  • Lotti N; Department of Chemistry "Giacomo Ciamician", INSTM UdR of Bologna, University of Bologna 40126 Bologna Italy.
  • Visai L; Civil, Chemical, Environmental and Materials Engineering Department, University of Bologna 40131 Bologna Italy.
Nanoscale Adv ; 4(5): 1330-1335, 2022 Mar 01.
Article em En | MEDLINE | ID: mdl-36133676
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.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article