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Detecting mitochondria in intracellular images with nonstationary indicator kriging
Aizu Research Cluster for Medical Engineering and Informatics Center for Advanced Information Science and Technology The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.ORCID iD: 0000-0002-4255-5130
2014 (English)Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

The mitochondrion is a membrane-bound organelle found in most eukaryotic cells. Mitochondria are considered as the powerhouse of the cell because they function as the platform for generating the production of chemical energy. The visual information of mitochondria revealed by the recent advanced technology in nanoimaging opens doors to life-science researchers to gain insights into its spatial structure and its spatial distribution within the cell. In order to simulate and model mitochondria using a large amount of images, the first task in image processing is the automated detection of this organelle. This paper introduces a nonstationary indicator kriging model, which can model the spatial uncertainty in an image, for feature extraction. This feature can be effectively applied for the detection of mitochondria.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 1-5
Keyword [en]
Nanoimaging; nonstationary kriging; indicator mapping; Image processing; Pattern recognition
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-128581DOI: 10.1109/TENCON.2014.7022274Scopus ID: 2-s2.0-84940486283OAI: oai:DiVA.org:liu-128581DiVA, id: diva2:934659
Conference
TENCON 2014 - 2014 IEEE Region 10 Conference. 22-25 Oct. 2014, Bangkok
Available from: 2016-06-09 Created: 2016-05-25 Last updated: 2018-01-10Bibliographically approved

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Pham, Tuan D

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf