Original title: Cell Detection Methods For The Images From Holographic Microscope
Authors: Vičar, Tomáš
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: 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.
Keywords: cell detection; distance transform; Holographic microscope; LoG filter
Host item entry: Proceedings of the 23st Conference STUDENT EEICT 2017, ISBN 978-80-214-5496-5

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/187121

Permalink: http://www.nusl.cz/ntk/nusl-414781


The record appears in these collections:
Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers