Deep-LUMEN assay – human lung epithelial spheroid classification from brightfield images using deep learning-Reference-Cited by-同舟云学术

Deep-LUMEN assay – human lung epithelial spheroid classification from brightfield images using deep learning

Published:2020 Issue:24 Volume:20 Page:4623-4631
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Abdul Lyan¹²³⁴,Rajasekar Shravanthi⁵²³⁴,Lin Dawn S. Y.⁵²³⁴,Venkatasubramania Raja Sibi⁶²³⁴,Sotra Alexander⁵²³⁴,Feng Yuhang⁶²³⁴,Liu Amy⁶²³⁴,Zhang Boyang¹²³⁴⁵

Affiliation:

1. School of Biomedical Engineering

2. McMaster University

3. Hamilton

4. Canada

5. Department of Chemical Engineering

6. Faculty of Health Sciences

Abstract

Deep-learning uncovered measurement of epithelial networks (Deep-LUMEN) is an open-source algorithm that can automatically uncover subtle differences in lung alveolar epithelial spheroid morphology from brightfield images.

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2020/LC/D0LC01010C

Reference24 articles.

1. Chromosome Segregation Fidelity in Epithelia Requires Tissue Architecture

2. Primary rat hepatocyte culture on 3D nanofibrous polymer scaffolds for toxicology and pharmaceutical research