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Image Based Measurements of Single Cell mtDNA Mutation Load
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Centre for Image Analysis. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
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2007 (English)In: Image Analysis, Proceedings / [ed] Ersboll BK, Pedersen KS, 2007, 631-640 p.Conference paper, Published paper (Refereed)
Abstract [en]

Cell cultures as well as cells in tissue always display a certain degree of variability, and measurements based on cell averages will miss important information contained in a heterogeneous population. This paper presents automated methods for image based measurements of mitochondiral DNA (mtDNA) mutations in individual cells. The mitochondria are present in the cell’s cytoplasm, and each cytoplasm has to be delineated. Three different methods for segmentation of cytoplasms are compared and it is shown that automated cytoplasmic delineation can be performed 30 times faster than manual delineation, with an accuracy as high as 87%. The final image based measurements of mitochondrial mutation load are also compared to, and show high agreement with, measurements made using biochemical techniques.

Place, publisher, year, edition, pages
2007. 631-640 p.
Series
Lecture notes in computer science, ISSN 0302-9743 ; 4522
Keyword [en]
single cell analysis, cytoplasm segmentation, mitochondrial DNA, image cytometry
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:uu:diva-12453DOI: 10.1007/978-3-540-73040-8ISI: 000247364000064ISBN: 978-3-540-73039-2 (print)OAI: oai:DiVA.org:uu-12453DiVA: diva2:40222
Conference
15th Scandinavian Conference, SCIA 2007, Aalborg, Denmark, June 10-14, 2007
Available from: 2007-12-21 Created: 2007-12-21 Last updated: 2011-04-13Bibliographically approved

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Allalou, AminWählby, Carolina

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