12Phenotypic heterogeneity occurs in a population of genetically identical bacteria due to stochastic 13 molecular fluctuations and environmental variations. In extreme cases of phenotypic heterogeneity, a 14 fraction of the bacterial population enters dormancy, and these metabolically inactive or non-dividing 15 bacteria persist through most antibiotic challenges. These subpopulations of persister cells are difficult 16to study in patient samples. However, the proportion of persisters in a sample can be accessed by 17 physically separating bacteria on a plate measuring the time until colonies become visible as dormant 18 bacteria resume growth later than their active counterparts and form smaller colonies. 19Here, we present ColTapp (Colony Time-lapse app), an application dedicated to bacterial colony 20 growth quantification, freely available for download together with its MATLAB source code or as a 21 MacOS/Windows executable. ColTapp's intuitive graphical user interface allows users without prior 22 coding knowledge to analyze endpoint or time-lapse images of colonies on agar plates. Colonies are 23 detected automatically, and their radius can be tracked over time. Downstream analyses to derive 24 colony lag time and growth rate are implemented. 25We demonstrate here the applicability of ColTapp on a dataset of Staphyloccocus aureus colony 26 time-lapse images. Colonies on dense plates reached saturation early, biasing lag time estimation from 27 endpoint images. This bias can be reduced by considering the area available to each colony on a plate. 28By facilitating the analysis of colony growth dynamics in clinical settings, this application will enable 29 a new type of diagnostics, oriented towards personalized antibiotic therapies. 30 31