Separation enhanced nucleus detection on propidium iodide stained digital slides

V. Z. Jonas, M. Kozlovszky, B. Molnár

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

3 Citations (Scopus)

Abstract

Cancer research and diagnostics is an important frontier to apply the power of computers. Image processing gains more and more territory in pathology, our current study aims to apply image cytometry to this area. One of the most fundamental methods is ploidy analysis that aims to measure the pace of proliferation in the tissue. This is proven to be a good marker of tumor presence and aggressivity. Ploidy analysis traditionally is a flow cytometry area. The samples used in our study are the same as those used in a flow cytometer: a droplet of the suspension containing stained nuclei caught on a glass slide, covered and scanned. This article aims to show our progress in nucleus detection on digitized samples of propidium iodide stained cell nuclei suspensions. A previous article covered the assay method constructed and the initial segmentation technique used for nuclei detection, and identified its shortcomings based on the results. This paper presents a step forward in segmentation accuracy in our project.

Original languageEnglish
Title of host publicationINES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages157-161
Number of pages5
ISBN (Print)9781479946150
DOIs
Publication statusPublished - Sep 24 2014
Event18th IEEE International Conference on Intelligent Engineering Systems, INES 2014 - Tihany, Hungary
Duration: Jul 3 2014Jul 5 2014

Other

Other18th IEEE International Conference on Intelligent Engineering Systems, INES 2014
CountryHungary
CityTihany
Period7/3/147/5/14

Fingerprint

Flow cytometry
Pathology
Nucleus
Tumors
Assays
Image processing
Cells
Tissue
Glass
Segmentation
Flow Cytometry
Proliferation
Droplet
Tumor
Image Processing
Diagnostics
Cancer
Cell

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Applied Mathematics
  • Theoretical Computer Science

Cite this

Jonas, V. Z., Kozlovszky, M., & Molnár, B. (2014). Separation enhanced nucleus detection on propidium iodide stained digital slides. In INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings (pp. 157-161). [6909360] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES.2014.6909360

Separation enhanced nucleus detection on propidium iodide stained digital slides. / Jonas, V. Z.; Kozlovszky, M.; Molnár, B.

INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 157-161 6909360.

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

Jonas, VZ, Kozlovszky, M & Molnár, B 2014, Separation enhanced nucleus detection on propidium iodide stained digital slides. in INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings., 6909360, Institute of Electrical and Electronics Engineers Inc., pp. 157-161, 18th IEEE International Conference on Intelligent Engineering Systems, INES 2014, Tihany, Hungary, 7/3/14. https://doi.org/10.1109/INES.2014.6909360
Jonas VZ, Kozlovszky M, Molnár B. Separation enhanced nucleus detection on propidium iodide stained digital slides. In INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 157-161. 6909360 https://doi.org/10.1109/INES.2014.6909360
Jonas, V. Z. ; Kozlovszky, M. ; Molnár, B. / Separation enhanced nucleus detection on propidium iodide stained digital slides. INES 2014 - IEEE 18th International Conference on Intelligent Engineering Systems, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 157-161
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