|
This release version of GCellIQ (Genomic Cell Image Quantitator) software package is developed by the Center for Biotechnology and Informatics (CBI, Director: Dr. Stephen Wong) at The Methodist Hospital Research Institute. It is a product of interdisciplinary research effort over the years. The bulk of the development effort was done in close collaboration with Perrimon's Laboratory at Howard Hughes Medical Institute, Harvard Medical School.
This version of GCellIQ (Version 1.0) can only run on a machine with Matlab installed. No other installation is required for this software. Just copy the source code into local disk and run the program under Matlab environment. Please read and agree the license before running the program.
Click here for GCellIQ download page: http://www.cbi-tmhs.org/GCellIQ/download.htm
References:
1. Li F, Zhou X, Zhu J, Ma J, Huang X, et al. (2007) High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles. Bmc Biotechnology 7: p. 66.
2. Wang J, Zhou X, Bradley PL, Chang SF, Perrimon N, et al. (2008) Cellular phenotype recognition for high-content RNA interference genome-wide screening. Journal of Biomolecular Screening 13: 29-39.
3. Manjunath BS, Ma WY (1996) Texture features for browsing and retrieval of image data. Ieee Transactions on Pattern Analysis and Machine Intelligence 18: 837-842.
4. Cohen A, Daubechies I, Feauveau JC (1992) Biorthogonal Bases of Compactly Supported Wavelets. Communications on Pure and Applied Mathematics 45: 485-560.
5. F Z (1934) Beugungstheorie des schneidencerfarhens undseiner verbesserten form, der phasenkontrastmethode. Physica 1: 689-704.
6. M HR, K S, I D (1973) Textural features for image classification. Transactions on Systems, Man and Cybernetics 6: 610-620.
|
