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

Nora Bloise; Lorenzo Fassina; Maria Letizia Focarete; Nadia Lotti; Livia Visai

doi:10.1039/d1na00890k

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

Nanoscale Adv. 2022 Feb 16;4(5):1330-1335. doi: 10.1039/d1na00890k. eCollection 2022 Mar 1.

Authors

Nora Bloise^{1

2}, Lorenzo Fassina³, Maria Letizia Focarete⁴, Nadia Lotti^{5

6}, Livia Visai^{1

2}

Affiliations

¹ Department of Molecular Medicine, Centre for Health Technologies (CHT), INSTM UdR of Pavia, University of Pavia 27100 Pavia Italy livia.visai@unipv.it.
² Medicina Clinica-Specialistica, UOR5 Laboratorio di Nanotecnologie, ICS Maugeri, IRCCS 27100 Pavia Italy.
³ Department of Electrical, Computer and Biomedical Engineering, Centre for Health Technologies (CHT), University of Pavia 27100 Pavia Italy.
⁴ Department of Chemistry "Giacomo Ciamician", INSTM UdR of Bologna, University of Bologna 40126 Bologna Italy.
⁵ Civil, Chemical, Environmental and Materials Engineering Department, University of Bologna 40131 Bologna Italy.
⁶ Interdepartmental Center for Industrial Research on Advanced Applications in Mechanical Engineering and Materials Technology, CIRI-MAM, University of Bologna 40131 Bologna Italy.

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.