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Automated high throughput image analysis of the ND10 complex of KSHV cells
For a better understanding of inter-and intracellular events, in modern microbiology and virology analysis of huge amounts of data is required. In order to assist biologists with the evaluation of such data, automated image analysis software can be applied. In the following, methods based on Difference of Gaussian filters, k-means clustering, locally adaptive thresholds and the watershed transform are described and applied for segmentation of intra-nuclear dots as well as cell nuclei. Using thedoi:10.1515/bmt-2012-4049 fatcat:qlgcqxd2azbafn4zns57pojzny