Detail publikace

Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method

VIČAR, T. CHMELÍK, J. KOLÁŘ, R.

Originální název

Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Quantitative Phase Imaging (QPI) is a label-free microscopic technique, which provides images with high contrast, moreover, it provides quantitative cell mass measurements for each pixel. Segmentation of particular cells is an important step in the analysis of QPI image data. This paper presents a method for automatic cell segmentation in QPI images. The proposed method improves iterative thresholding, which is a very promising method, however, it is not able to segment densely clustered cells. Our improved iterative thresholding includes two additional steps -- Laplacian of Gaussian image enhancement and distance transform-based splitting. The method was compared with original iterative thresholding and another method on two cell lines, where the proposed method successfully deals with a densely clustered type of cells and achieves significantly better results on both datasets

Klíčová slova

Cell segmentation, Quantitative Phase Imaging, Iterative thresholding, Laplacian of Gaussian

Autoři

VIČAR, T.; CHMELÍK, J.; KOLÁŘ, R.

Vydáno

30. 11. 2020

Nakladatel

Springer Nature Switzerland AG 2021

Místo

Switzerland

ISBN

978-3-030-64609-7

Kniha

EMBEC 2020, IFMBE Proceedings vol. 80

ISSN

1680-0737

Periodikum

IFMBE PROCEEDINGS

Ročník

80

Stát

Švédské království

Strany od

233

Strany do

239

Strany počet

7

URL

https://link.springer.com/chapter/10.1007/978-3-030-64610-3_27

BibTex

@inproceedings{BUT166123,
  author="Tomáš {Vičar} and Jiří {Chmelík} and Radim {Kolář}",
  title="Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method",
  booktitle="EMBEC 2020, IFMBE Proceedings vol. 80",
  year="2020",
  journal="IFMBE PROCEEDINGS",
  volume="80",
  pages="233--239",
  publisher="Springer Nature Switzerland AG 2021",
  address="Switzerland",
  doi="10.1007/978-3-030-64610-3\{_}27",
  isbn="978-3-030-64609-7",
  issn="1680-0737",
  url="https://link.springer.com/chapter/10.1007/978-3-030-64610-3_27"
}