A benchmarked comparison of software packages for time-lapse image processing of monolayer bacterial population dynamics.

ABSTRACT: Time-lapse microscopy offers a powerful approach for analyzing cellular activity. In particular, this technique is valuable for assessing the behavior of bacterial populations, which can exhibit growth and intercellular interactions in a monolayer. Such time-lapse imaging typically generates large quantities of data, limiting the options for manual investigation. Several image-processing software packages have been developed to facilitate analysis. It can thus be a challenge to identify the software package best suited to a particular research goal. Here, we compare four software packages that support the analysis of 2D time-lapse images of cellular populations: CellProfiler, SuperSegger-Omnipose, DeLTA, and FAST. We compare their performance against benchmarked results on time-lapse obser

SUBMITTER: Ahmadi A 

PROVIDER: S-EPMC11302142 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature