<  Back to the Polytechnique Montréal portal

An automated cell viability quantification method for low-resolution confocal images of closely packed cells based on a modified gradient flow tracking algorithm

R. Kaviani, P. Merat, F. Moldovan and Isabelle Villemure

Article (2016)

An external link is available for this item
Department: Department of Mechanical Engineering
PolyPublie URL: https://publications.polymtl.ca/35545/
Journal Title: Journal of Microscopy (vol. 261, no. 3)
Publisher: Wiley
DOI: 10.1111/jmi.12322
Official URL: https://doi.org/10.1111/jmi.12322
Date Deposited: 18 Apr 2023 15:05
Last Modified: 25 Sep 2024 16:19
Cite in APA 7: Kaviani, R., Merat, P., Moldovan, F., & Villemure, I. (2016). An automated cell viability quantification method for low-resolution confocal images of closely packed cells based on a modified gradient flow tracking algorithm. Journal of Microscopy, 261(3), 217-226. https://doi.org/10.1111/jmi.12322

Statistics

Dimensions

Repository Staff Only

View Item View Item