Issue 5, 2022
From the journal:

Nanoscale Advances

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

Nora Bloise, ORCID logo ab   Lorenzo Fassina, ORCID logo c   Maria Letizia Focarete,d   Nadia Lotti ORCID logo ef  and  Livia Visai ORCID logo *ab  

* Corresponding authors

a Department of Molecular Medicine, Centre for Health Technologies (CHT), INSTM UdR of Pavia, University of Pavia, 27100 Pavia, Italy
E-mail: livia.visai@unipv.it

b Medicina Clinica-Specialistica, UOR5 Laboratorio di Nanotecnologie, ICS Maugeri, IRCCS, 27100 Pavia, Italy

c Department of Electrical, Computer and Biomedical Engineering, Centre for Health Technologies (CHT), University of Pavia, 27100 Pavia, Italy

d Department of Chemistry “Giacomo Ciamician”, INSTM UdR of Bologna, University of Bologna, 40126 Bologna, Italy

e Civil, Chemical, Environmental and Materials Engineering Department, University of Bologna, 40131 Bologna, Italy

f 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.

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

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Article information

DOI
https://doi.org/10.1039/D1NA00890K
Article type
Communication
Submitted
26 dic. 2021
Accepted
24 ene. 2022
First published
16 feb. 2022
This article is Open Access
Creative Commons BY-NC license

Nanoscale Adv., 2022,4, 1330-1335

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

N. Bloise, L. Fassina, M. L. Focarete, N. Lotti and L. Visai, Nanoscale Adv., 2022, 4, 1330 DOI: 10.1039/D1NA00890K

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