利用哈拉利克纹理分析预测随机取向电纺纳米材料上的细胞增殖

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

作者信息

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

机构信息

Department of Molecular Medicine, Centre for Health Technologies (CHT), INSTM UdR of Pavia, University of Pavia 27100 Pavia Italy

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

出版信息

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

DOI:10.1039/d1na00890k

PMID:36133676

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9419736/

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.

摘要

我们采用计算机视觉方法提取了随机取向的电纺纳米材料的哈氏纹理特征，以便预测随后接种到纳米表面上的细胞的增殖行为。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a861/9419736/628f4a81620a/d1na00890k-f1.jpg

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利用哈拉利克纹理分析预测随机取向电纺纳米材料上的细胞增殖

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

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利用哈拉利克纹理分析预测随机取向电纺纳米材料上的细胞增殖

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

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机构信息

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