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Polish Conference on Biocybernetics and Biomedical Engineering

PCBBE 2017: Recent Developments and Achievements in Biocybernetics and Biomedical Engineering pp 131–140Cite as

Automatic Detection of Cells in FISH Images Using Map of Colors and Three-Track Segmentation

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 647))

Abstract

The article presents a complex method of recognition nuclei cells areas and of segmentation of nuclei. The evaluation process of the identification and segmentation quality of proposed methods using L2 distance function and sensitivity function is also presented. FISH test is a fluorescence technique used for staining of microscope images of breast cancer. The technique allows visualization of HER2, CEN17 genes and cells nuclei. Fast and efficient microscopy image analysis allows a proper choice of therapy. This article presents a new, complex technique based on the color analysis, morphological transformations and watershed segmentation. The technique allows rapid and efficient identification of nuclei areas, as well as precise detection of the cells nuclei outlines. This step is often overlooked in a computer image analysis, whereas it is extremely important. It allows to increase the accuracy of HER2/CEN17 gene detection, as well as it allows to exclude fake biomarkers and increase the speed of identification of algorithms for HER2 genes by limiting the searched area. Proper segmentation of nuclei also makes manual evaluation of images easier.

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Acknowledgment

This work has been supported by the National Science Centre (2012/07/B/ST7/01203 grant), Poland.

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Authors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Tomasz Les & Tomasz Markiewicz

  2. Military Institute of Medicine, Warsaw, Poland

    Tomasz Markiewicz & Janusz Patera

Authors
  1. Tomasz Les
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  2. Tomasz Markiewicz
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  3. Janusz Patera
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Corresponding author

Correspondence to Tomasz Les .

Editor information

Editors and Affiliations

  1. AGH University of Science and Technology, Krakow, Poland

    Piotr Augustyniak

  2. Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland

    Roman Maniewski

  3. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

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Les, T., Markiewicz, T., Patera, J. (2018). Automatic Detection of Cells in FISH Images Using Map of Colors and Three-Track Segmentation. In: Augustyniak, P., Maniewski, R., Tadeusiewicz, R. (eds) Recent Developments and Achievements in Biocybernetics and Biomedical Engineering. PCBBE 2017. Advances in Intelligent Systems and Computing, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-319-66905-2_11

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  • DOI: https://doi.org/10.1007/978-3-319-66905-2_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66904-5

  • Online ISBN: 978-3-319-66905-2

  • eBook Packages: EngineeringEngineering (R0)

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