Publication detail

Cell Detection Methods for the Images from Holograpic Microscope

VIČAR, T.

Original Title

Cell Detection Methods for the Images from Holograpic Microscope

Type

conference paper

Language

English

Original 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

Holographic microscope, cell detection, LoG filter, distance transform

Authors

VIČAR, T.

Released

27. 4. 2017

Publisher

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních

Location

Brno

ISBN

978-80-214-5496-5

Book

Proceedings of the 23rd Conference STUDENT EEICT 2017

Edition number

první

Pages from

334

Pages to

338

Pages count

4

URL

http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf

BibTex

@inproceedings{BUT138552,
  author="Tomáš {Vičar}",
  title="Cell Detection Methods for the Images from Holograpic Microscope",
  booktitle="Proceedings of the 23rd Conference STUDENT EEICT 2017",
  year="2017",
  number="první",
  pages="334--338",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních",
  address="Brno",
  isbn="978-80-214-5496-5",
  url="http://eeict.feec.vutbr.cz/2017/sbornik/EEICT_2017-sbornik-komplet-2.pdf"
}