title: Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes.
abstract: We developed an automated system, ScanLag, that measures in parallel the delay in growth (lag time) and growth rate of thousands of cells. Using ScanLag, we detected small subpopulations of bacteria with dramatically increased lag time upon starvation. By screening a library of Escherichia coli deletion mutants, we achieved two-dimensional mapping of growth characteristics, which showed that ScanLag enables multidimensional screens for quantitative characterization and identification of rare phenotypic variants.
authors.affiliation: Racah Institute of Physics, The Hebrew University, Edmond J. Safra Campus, Givat-Ram, Jerusalem, Israel.
authors.forename: Irit
authors.initials: I
authors.lastname: Levin-Reisman
authors.forename: Orit
authors.initials: O
authors.lastname: Gefen
authors.forename: Ofer
authors.initials: O
authors.lastname: Fridman
authors.forename: Irine
authors.initials: I
authors.lastname: Ronin
authors.forename: David
authors.initials: D
authors.lastname: Shwa
authors.forename: Hila
authors.initials: H
authors.lastname: Sheftel
authors.forename: Nathalie Q
authors.initials: NQ
authors.lastname: Balaban
mesh_terms: D001331:Automation; D004926:Escherichia coli / Q000235:genetics / Q000254:growth & development*; D015723:Gene Library; D014644:Genetic Variation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D009154:Mutation; D010641:Phenotype