Nucleus detection on propidium iodide stained digital slides

V. Z. Jonas, M. Kozlovszky, B. Molnar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

With the advent of digital microscopy in pathology traditional diagnostic methods are inevitably revisited and compared to arising new approaches. Image processing based solutions are developed to replace methods applied through decades. Ploidy analysis traditionally is a flow cytometry (FCM) area, but reproducing its results with computer based image processing techniques (ICM-Image Cytometry) on digitalized specimen could have a few benefits of its own. This article aims to explore the possibilities of applying image processing to this field. The process is using the type of sample used by FCM, propidium iodide stained cell nuclei. A droplet of the specimen was placed on a glass slide and digitized. We created an image processing algorithm to detect the nuclei and measure their properties to support the forming of measurement-based, objective and reproducible diagnoses. This article also introduces a simple method for quantitative validation of segmentation algorithms that helped us to prioritize the further efforts in algorithm development.

Original languageEnglish
Title of host publicationSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings
PublisherIEEE Computer Society
Pages139-143
Number of pages5
ISBN (Print)9781479946945
DOIs
Publication statusPublished - Jan 1 2014
Event9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014 - Timisoara, Romania
Duration: May 15 2014May 17 2014

Publication series

NameSACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings

Conference

Conference9th IEEE International Symposium on Applied Computational Intelligence and Informatics, SACI 2014
CountryRomania
CityTimisoara
Period5/15/145/17/14

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

Cite this

Jonas, V. Z., Kozlovszky, M., & Molnar, B. (2014). Nucleus detection on propidium iodide stained digital slides. In SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings (pp. 139-143). [6840051] (SACI 2014 - 9th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings). IEEE Computer Society. https://doi.org/10.1109/SACI.2014.6840051