Using Cell-ID 1.4 with R for microscope-based cytometry.
Using Cell-ID 1.4 with R for microscope-based cytometry.
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DOI：
10.1002/0471142727.mb1418s100
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发表时间：
2012-10-01
影响因子：
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通讯作者：
Colman-Lerner, Alejandro
中科院分区：
文献类型：
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作者：
Bush, Alan;Chernomoretz, Ariel;Colman-Lerner, Alejandro
本单元描述了一种用于量化各种细胞特征的方法（例如，体积、总的和亚细胞荧光定位）。它包括随时间跟踪细胞的程序。采集一个故意散焦的透射图像（有时称为明场或BF）以分割图像并定位每个细胞。然后通过传统的宽视场落射荧光或共焦显微镜获取荧光图像（每个待分析的颜色通道一个）。该方法使用Cell-ID的图像处理功能和统计编程框架R的数据分析，并补充了用于分析Cell-ID输出的例程包。Cell-ID和分析包都是开源的。
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.