DocumentCode
917824
Title
A Quantitative Zebrafish Phenotyping Tool for Developmental Biology and Disease Modeling [Life Sciences]
Author
Liu, Tianming
Author_Institution
Center for Bioinformatics, Harvard Med. Sch., Boston, MA
Volume
24
Issue
1
fYear
2007
Firstpage
126
Lastpage
129
Abstract
This paper discusses the challenges of automated quantitative phenotyping of zebrafish images. These challenges can be addressed by developing automated image analysis tools and integrating them in user-friendly software packages. As part of this strategic direction, we discussed the ZFIQ (zebrafish image quantitator) image processing pipeline and two examples, which show significant advantages over traditional methods based on manual labeling or visual inspection. By building ZFIQ on top of the public domain OpenCV platform, we aim to encourage the computer vision and signal/image processing communities to contribute their image quantification pipelines to the ZFIQ, and, in turn, expect the zebrafish research community to contribute quantification problems and associated image datasets to the development
Keywords
biological techniques; biology computing; genetic engineering; image processing; Daniorerio; biological developments; biological model; computerized zebrafish image processing pipelines; disease modeling; genetic system; living embryo; pheno-typing; vertebrates; zebrafish image acquisition; zebrafish image quantitator; zebrafish phenotypes; Biological system modeling; Computational biology; Computer vision; Diseases; Image analysis; Image processing; Inspection; Labeling; Pipelines; Software packages;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2007.273080
Filename
4049921
Link To Document