Using Cell-ID 1.4 with R for Microscope-Based Cytometry

ALAN BUSH; ARIEL CHERNOMORETZ; RICHARD YU; ANDREW GORDON; ALEJANDRO COLMAN LERNER

Current Protocols in Molecular Biology

New York : Greene Pub. Associates ; Wiley-Interscience

Año: 2012 p. 1 - 26

1934-3639

This unit describes a method for quantifying various cellular features (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 purposely defocused transmission image (sometimes referred to as bright-field or BF) is acquired to segment the image and locate each cell. Fluorescence 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 and data analysis by the statistical programming framework R, which is supplemented with a package of routines for analyzing Cell-ID output. Both Cell-ID and the analysis package are open-source.