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
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