Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Journal

Biology

JoVE Journal
Biology

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JoVE Journal Biology

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

DOI:

10.3791/1933-v

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13:11 min

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May 20, 2010

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Sabrina Lin^2,3, Shawn Fonteno, Shruthi Satish³, Bir Bhanu, Prue Talbot²

¹UCR Stem Cell Center,University of California, ²Department of Cell Biology and Neuroscience,University of California, ³Cell, Molecular, and Developmental Biology Graduate Program,University of California, ⁴Center for Research in Intelligent Systems,University of California

Chapters

00:00Title
01:02Introduction
01:40Plating and Colony Formation of hESC for Video Data
03:48Video Bioinformatics with CL -Quant Software — Segmentation Recipe
06:40Video Bioinformatics with CL-Quant Software — Enhancement Recipe
08:19Video Bioinformatics with CL -Quant Software — Measurement Template
10:08Adobe® Photoshop® Measurement of hESC Video Data
11:22Comparison of CL-Quant and Adobe® Photoshop® for Video Analysis of hESC Colony Growth
12:27Conclusion

Summary

Automatic Translation

Video bioinformatics is the automated processing, analysis, understanding, and data mining of biological spatio-temporal data extracted from microscopic videos. The purpose of this article is to demonstrate a method for measuring human embryonic stem cell colony growth using a video bioinformatics method.