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With the introduction of sensitive and fast electronic imaging devices and the development of biological methods to tag proteins of interest by green fluorescent proteins (GFP), it has now become critical to develop automatic quantitative data analysis tools to study the live cell dynamics at subcellular level. In this paper, a sequential Monte Carlo (SMC) method to track variable number of multiple...
Cell-based fluorescence imaging assays have the potential to generate massive amount of data, which requires detailed quantitative analysis. Often, as a result of fixation, labeled nuclei overlap and create a clump of cells. However, it is important to quantify phenotypic read out on a cell-by-cell basis. In this paper, we propose a novel method for decomposing clumps of nuclei using high-level geometric...
With the wide application of green fluorescent protein (GFP) in the study of live cell, which leads to a better understanding of biochemical events at subcellular level, there is a surging need for the computer-aided analysis on the huge amount of image sequence data acquired by the advanced microscopy devices. One of such tasks is the motility analysis of the multiple subcellular structures. In this...
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