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Schizophrenia, Alzheimer's disease, Parkinson's disease, and other neuropsychiatric degenerative disorders and dementias impose an enormous economic and psychosocial burden on society, communities, and families. In order to gain a better understanding of gene-brain-behavior relationships, improve treatment, and find cures for these diseases, translational research must be conducted with clinical trials...
In order to facilitate the study of neuron migration, we propose a method for 3-D detection and tracking of centrosomes in time-lapse confocal image stacks of live neuron cells. We combine Laplacian-based blob detection, adaptive thresholding, and the extraction of scale and roundness features to find centrosome-like objects in each frame. We link these detections using the joint probabilistic data...
Live-Cell Assays are used to study the dynamic functional cellular processes in high-content screening of drug discovery processes. One class of tasks in this application is the tracking of cells and the description of the events and the changes in the cell characteristics. The large amount of data requires fast processing algorithms and compact object and event descriptions. We propose in this paper...
The following topics have been dealt with: middlewares; neurophysiology; biomedical imaging; medical image processing; genetics; genomics; proteins; proteomics; electronic health records; health information systems; cancer; ontology; support systems; data mining; biological organs; stents; drugs; medical diagnosis; health care information management; blood; cellular biophysics; microorganisms; biological...
Anti-virus experiment in vitro is a common way to screen and identify antiviral drugs. Most of the cells in the experiments are wall-adherent. Segmenting, recognizing and counting this wall-adherent cells in micrograph successfully can cut down the time and cost of the experiment. It is much difficult to segment this kind of image because of the wall-adherent cells characteristics. In this paper,...
We propose a new model-based algorithm for the automated tracking of vascular networks in 2-D digital subtraction angiograms. Consecutive scanline profiles are fitted by a parametric imaging model to estimate local vessel center point, radius, edge locations and direction. An adaptive tracking strategy is applied with appropriate termination criteria to track each vessel segment. When tracking stops,...
Image processing and analysis has become essential for both cell biology research and drug discovery since the advent of high content screening (HCS) technologies. In this context, the Grid technology is a good opportunity to solve intensive computing problems with large data set. In addition, the exploitation of the Grid is not a simple task for many users because it is difficult to use the Grid...
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