Cell Detection Methods For The Images From Holographic Microscope
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Microscopical cell image analysis is widely used for cell behavior and morphology study. In dense cell cultures precise detection (separation) of a single cell is challenging task and it is important step for automatic cell analysis methods. There are a variety of methods, but most of them are less accurate for non-circular cells. This paper describes the common approaches for cell detection applied on images from holographic microscope. Linear discriminant analysis is used for combining results of these methods to obtain new more precise and robust approach.
Document typePeer reviewed
Document versionxmlui.vut.verze.Publishers's version
SourceProceedings of the 23st Conference STUDENT EEICT 2017. s. 334-338. ISBN 978-80-214-5496-5
- Student EEICT 2017