Name:GRIP (EPIKH)
Description:Grid Image Processing for Biomedical Diagnosis
Abstract:Patterns and structure identification in images for diagnosis purposes in physiology and pathology represent a key step in the development of strategies of early detection and timely treatment of human diseases.<BR/>Images come from a variety of devices (X-Ray, NMR, MRI, FMR, Confocal microscopy, Immunohistochemistry, Immunofluorescence, among other) and their handling require sophisticated modelling and numerical processing in order to enhance the features of significant content for diagnosis.<BR/>Research in Biomedical diagnosis encompass functional analysis of activity/structure of isolated tissues (cell cultures) as in Immunohistochemistry of breast cancer, fluorescence and isotope luminescence, etc. It allows identification of highly specific functional mechanisms of cell membranes, receptors and ion channel identification, intracellular waves of messengers (Ca2+, AMPc, IP3, RyR) and nuclear CREBS at DNA level. Research in these fields require processing of a significant amount of fluorescence images with different contrast levels, intensities, diffusion, etc., together with the development of advanced image processing algorithms and tools adapted to the needs of the morphologist.<BR/>The GRIP project is an initiative for the design and implementation of GRID based image processing tools for the advancement of research in pathology and physiology.
Created:2011-05-03
Last updated:2011-05-03
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