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ZFIQ (Zebrafish Image Quantitator)



The ZFIQ (Zebrafish Image Quantitator) software toolkit is developed by the Medical Image Computing Group of the Center for Bioengineering and Informatics (CBI, Director: Dr. Stephen Wong), Methodist Hospital Research Institute with a large part of the development effort was done while Stephen’s group was part of the Harvard NeuroDiscovery Center, formally known as the HCNR (Harvard Center for Neurodegeneration and Repair), Harvard Medical School. it is a collaboration result with Weiming Xia, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School; Jarema Malicki, Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School; and Scott Holley, Department of Molecular, Cellular and Developmental Biology, Yale University over the years. The software aims to provide a set of practical and effective image analysis tools for quantitative, reproducible and accurate interpretation of zebrafish imaging data, in particular, for streamlined processing and analysis of bioimaging data. The design of ZFIQ is modular such that new applications and modules can be added into the toolkit.

The ZFIQ can also be used as a platform for integrating and exchange data, algorithms and ideas among zebrafish scientists, developmental biologists, and biomedical researchers. ZFIQ is distributed under the attached license. See http://www.cbi-tmhs.org/ZFIQ/license.htm .

ZFIQ is a subset of CBI platform. CBI platform is a generic image computing software platform that could be used for processing of biological imaging data and medical imaging data, as well as other general images. ZFIQ is a collection of specific filters and pipelines developed for zebrafish image processing and analysis. ZFIQ shares the same low level image processing and analysis routines, interfaces, I/Os, and etc. of the CBI platform.

zebrafish image, zfiq

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The Methodist Hospital Research Institute, Houston, TX. All rights reserved.
Last updated: 08/26/09.