Publication detail

Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method

VIČAR, T. CHMELÍK, J. KOLÁŘ, R.

Original Title

Cell Segmentation in Quantitative Phase Images with Improved Iterative Thresholding Method

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

VIČAR, T.; CHMELÍK, J.; KOLÁŘ, R.

Released

30. 11. 2020

Publisher

Springer Nature Switzerland AG 2021

Location

Switzerland

ISBN

978-3-030-64609-7

Book

EMBEC 2020, IFMBE Proceedings vol. 80

ISBN

1680-0737

Periodical

IFMBE PROCEEDINGS

Year of study

80

State

Kingdom of Sweden

Pages from

233

Pages to

239

Pages count

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"
}