Literature DB >> 18972382

Using Cell-ID 1.4 with R for microscope-based cytometry.

Ariel Chernomoretz1, Alan Bush, Richard Yu, Andrew Gordon, Alejandro Colman-Lerner.   

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. Copyright 2008 by John Wiley & Sons, Inc.

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Mesh:

Year:  2008        PMID: 18972382      PMCID: PMC2784696          DOI: 10.1002/0471142727.mb1418s84

Source DB:  PubMed          Journal:  Curr Protoc Mol Biol        ISSN: 1934-3647


  12 in total

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10.  Single-cell quantification of molecules and rates using open-source microscope-based cytometry.

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  8 in total

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  8 in total

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