title: Using Cell-ID 1.4 with R for microscope-based cytometry.
abstract: This unit describes a method for quantifying various cellular parameters (e.g., volume, total and subcellular fluorescence localization) from sets of microscope images of individual cells. It includes procedures for tracking cells over time. One purposefully defocused transmission image (sometimes referred to as bright-field or BF) is acquired to locate each cell. Fluorescent images (one for each of the color channels to be analyzed) are then acquired by conventional wide-field epifluorescence or confocal microscopy. This method uses the image processing capabilities of Cell-ID (Gordon et al., 2007) and data analysis by the statistical programming framework R (R-Development-Team, 2008), which we have supplemented with a package tailored to analyze Cell-ID output. Both programs are open-source software packages.
authors.affiliation: Physics Department, FCEN, University of Buenos Aires and CONICET, Buenos Aires, Argentina.
authors.forename: Ariel
authors.initials: A
authors.lastname: Chernomoretz
authors.forename: Alan
authors.initials: A
authors.lastname: Bush
authors.forename: Richard
authors.initials: R
authors.lastname: Yu
authors.forename: Andrew
authors.initials: A
authors.lastname: Gordon
authors.forename: Alejandro
authors.initials: A
authors.lastname: Colman-Lerner
mesh_terms: D000818:Animals; D002477:Cells / Q000166:cytology*; D003627:Data Interpretation, Statistical; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D018613:Microscopy, Confocal / Q000295:instrumentation / Q000379:methods*; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D012984:Software; D015003:Yeasts / Q000166:cytology