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We present a framework for cell tracking in a highly cluttered environment in live cell imaging from mouse brain cortex. Our goal is to track cells over a long period of time for intracellular calciumion concentration in order to detect important cellular events such as neural activity and cell division. Since traditional object tracking approach such as segmentation followed by tracking is not applicable...
Fitting geometric models to objects of interest in images is one of the most classical problems studied in computer vision field. As a result of its strong representation power and flexibility, conic is one of the geometric primitives widely used in a large number of image analysis applications, in practice. As opposed to most existing conic fitting methods minimizing the fitting error with the use...
Developments in optical microscopy imaging have generated large high-resolution data sets that have spurred medical researchers to conduct investigations into mechanisms of disease, including cancer at cellular and subcellular levels. The work reported here demonstrates that a suitable methodology can be conceived that isolates modality-dependent effects from the larger segmentation task and that...
We present an application problem of examining phenotype differences in wildtype and retinoblastoma (Rb) knockout specimens of mouse placenta. The lack of the Rb gene causes uncontrolled tissue growth which forces infiltrations into critical sections of mouse placenta that lead to fetal death. We briefly describe our method for volume visualization of mouse placenta tissue level intermixing at a microscopic...
In this paper, a framework of fast registration algorithm for large microscopy images is presented. The rationale behind this approach is that the rigid transform gives the global mapping between the two images while the nonrigid components further refines the local matching of the pixels by taking care of local nonrigid distortion and variation. Therefore, to estimate rigid transform, the global...
Microscopic imaging is an important phenotyping tool to characterize the phenotype (e.g., morphology and behavior) change caused by genotype manipulation such as mutation and gene knockout. Recently we use high resolution microscopic imaging to study the morphological change on mouse placenta induced by retinoblast (Rb) gene knockout. In order to assess the morphological change we first segment each...
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