Evaluation of object identification methods for cell tracking in phase contrast microscopy

F. Gunzer

doi:10.1117/12.832565

30 October 2009 Evaluation of object identification methods for cell tracking in phase contrast microscopy

F. Gunzer

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 74971Q (2009) https://doi.org/10.1117/12.832565
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

Cell tracking has been shown to be an important technique in order to obtain cell motility parameters to consider in various biological and pharmaceutical applications. In order to get statistically reliable data, a lot of tracking procedures have to be repeatedly performed, which is a tedious task if performed manually. Thus there is a strong interest in the automation of the tracking. Automatic cell tracking requires the re-identification of a certain cell image in subsequent video images. This task is very difficult due to the changes the cell undergoes why moving, i.e. stretching, rotation, but in phase contrast microscopy also intensity changes. Here we evaluate histogram-based cell image identification techniques, specifically histogram distance measures, regarding their applicability in phase contrast microscopy with focus on the possibility to successfully deal with the previously mentioned difficulties and propose a procedure that takes these into consideration and can thus be applied for image based cell re-identification.

Citation Download Citation

F. Gunzer "Evaluation of object identification methods for cell tracking in phase contrast microscopy", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74971Q (30 October 2009); https://doi.org/10.1117/12.832565

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