Sundaresh Ram

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—In this paper, we propose an automated method to segment and classify the 3-D spots in fluorescence in-situ hybridization images from ovarian germline nurse cells of Drosophila melanogaster. The spot segmentation consists of a smoothing step followed by top-hat filtering and 3-D region growing. After the spots are segmented, a number of features such as(More)
Accurate detection of individual cell nuclei in microscopy images is an essential and fundamental task for many biological studies. In particular, multivariate fluorescence microscopy is used to observe different aspects of cells in cultures. Manual detection of individual cell nuclei by visual inspection is time consuming, and prone to induce subjective(More)