From microbes to numbers: extracting meaningful quantities from images - Institut Pasteur Access content directly
Journal Articles Cellular Microbiology Year : 2012

From microbes to numbers: extracting meaningful quantities from images

Abstract

Light microscopy offers a unique window into the life and works of microbes and their interactions with hosts. Mere visualization of images, however, does not provide the quantitative information needed to reliably and accurately characterize phenotypes or test computational models of cellular processes, and is unfeasible in high-throughput screens. Algorithms that automatically extract biologically meaningful quantitative data from images are therefore an increasingly essential complement to the microscopes themselves. This paper reviews some of the computational methods developed to detect, segment and track cells, molecules or viruses, with an emphasis on their underlying assumptions, limitations, and the importance of validation.

Dates and versions

pasteur-02079529 , version 1 (26-03-2019)

Identifiers

Cite

Christophe Zimmer. From microbes to numbers: extracting meaningful quantities from images. Cellular Microbiology, 2012, 14 (12), pp.1828-1835. ⟨10.1111/cmi.12032⟩. ⟨pasteur-02079529⟩
22 View
1 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More