TAILIEUCHUNG - Báo cáo sinh học: "Tracking cells in Life Cell Imaging videos using topological alignments"

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí y học Molecular Biology cung cấp cho các bạn kiến thức về ngành sinh học đề tài: Tracking cells in Life Cell Imaging videos using topological alignments. | Algorithms for Molecular Biology BioMed Central Open Access Tracking cells in Life Cell Imaging videos using topological alignments Axel Mosig 1 2 Stefan Jager1 Chaofeng Wang1 Sumit Nath3 Ilker Ersoy3 Kannap-pan Palaniappan3 and Su-Shing Chen1 Address Department of Combinatorics and Geometry CAS-MPG Partner Institute for Computational Biology 200031 Shanghai PR China 2Max Planck Institute for Mathematics in the Sciences 04103 Leipzig Germany and 3Department of Computer Science University of Missouri-Columbia Columbia MO 65211 USA Email Axel Mosig - axel@ Stefan Jager - jaeger@ ChaofengWang - wangcf@ SumitNath - naths@ Ilker Ersoy-ersoy@ Kannap-pan Palaniappan - palaniappank@ Su-Shing Chen - suchen@ Corresponding author Published 16 July 2009 Received 4 December 2008 Algorithms for Molecular Biology 2009 4 10 doi 1748-7188-4-10 Accepted 16 July 2009 This article is available from http content 4 1 10 2009 Mosig et al licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background With the increasing availability of live cell imaging technology tracking cells and other moving objects in live cell videos has become a major challenge for bioimage informatics. An inherent problem for most cell tracking algorithms is over- or under-segmentation of cells - many algorithms tend to recognize one cell as several cells or vice versa. Results We propose to approach this problem through so-called topological alignments which we apply to address the problem of linking segmentations of two consecutive frames in the video sequence. Starting from the output of a conventional segmentation procedure we align pairs of consecutive frames through .

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