Discrete protein metric (DPM): A new image similarity metric to calculate accuracy of deep learning-generated cell focal adhesion predictions-Reference-Cited by-同舟云学术

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Discrete protein metric (DPM): A new image similarity metric to calculate accuracy of deep learning-generated cell focal adhesion predictions

Published:2022-09 Issue: Volume:160 Page:103302
ISSN:0968-4328
Container-title:Micron
language:en
Short-container-title:Micron

Author:

Contreras Miguel,Bachman William,Long David S.

Funder

National Institute of General Medical Sciences

Kansas IDeA Network of Biomedical Research Excellence

National Institutes of Health

Publisher

Elsevier BV

Subject

Cell Biology,Structural Biology,General Physics and Astronomy,General Materials Science

Reference29 articles.

1. A deep learning-based algorithm for 2-D cell segmentation in microscopy images;Al-Kofahi;BMC Bioinforma.,2018

2. Pearson Correlation Coefficient. In I. Cohen, Y. Huang, J. Chen, & J. Benesty (Eds.);Benesty,2009

3. High-resolution quantification of focal adhesion spatiotemporal dynamics in living cells;Berginski;PLoS ONE,2011

4. In silico labeling: predicting fluorescent labels in unlabeled images;Christiansen;Cell,2018

5. Quantitative studies of endothelial cell adhesion. Directional remodeling of focal adhesion sites in response to flow forces;Davies;J. Clin. Investig.,1994

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