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Journal Article

Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison.

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Jug,  Florian
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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Citation

Vicar, T., Balvan, J., Jaros, J., Jug, F., Kolar, R., Masarik, M., et al. (2019). Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison. BMC bioinformatics, 20(1): 360. doi:10.1186/s12859-019-2880-8.


Cite as: https://hdl.handle.net/21.11116/0000-0006-7D52-2
Abstract
Because of its non-destructive nature, label-free imaging is an important strategy for studying biological processes. However, routine microscopic techniques like phase contrast or DIC suffer from shadow-cast artifacts making automatic segmentation challenging. The aim of this study was to compare the segmentation efficacy of published steps of segmentation work-flow (image reconstruction, foreground segmentation, cell detection (seed-point extraction) and cell (instance) segmentation) on a dataset of the same cells from multiple contrast microscopic modalities.