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From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking

: Becker, T.; Rapoport, D.H.; Mamlouk, A.M.


IEEE Engineering in Medicine and Biology Society -EMBS-; IEEE Signal Processing Society:
9th IEEE International Symposium on Biomedical Imaging, ISBI 2012. From Nano to Macro : 2-5 May 2012, Barcelona
New York, NY: IEEE, 2012
ISBN: 978-1-4577-1857-1
ISBN: 978-1-4577-1858-8
International Symposium on Biomedical Imaging (ISBI) <9, 2012, Barcelona>
Conference Paper
Fraunhofer EMB ()

The analysis of time lapse data becomes a more and more important tool in (stem) cell biology, as this method enables a marker free analysis of cell populations over time and allows for the reconstruction of genealogical trees; these information can help to understand the mechanisms behind cell proliferation and differentiation. However, the crucial steps in a cell tracking algorithm (cell segmentation, cell tracking and mitosis detection) have to be performed with a high trustworthiness to find the correct lineage of each cell. Here, we present a novel cell tracking algorithm that combines microscopical images with different contrast mechanisms: first, oblique illumination is used to segment and track cells; second, phase contrast microscopy is used to detect the most critical events, the mitosis. The combination of both detection results in a more robust cell tracking. For evaluation, the free reference data CeTReS is used.