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Liu, Jingxia
Publications (3 of 3) Show all publications
Karlsson, P., Lindblad, J., Bengtsson, E., Höglund, A.-S., Liu, J. & Larsson, L. (2007). Analysis of Skeletal Fibers in Three Dimensional Images. In: Medicinteknikdagarna 2007 (pp. 1).
Open this publication in new window or tab >>Analysis of Skeletal Fibers in Three Dimensional Images
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2007 (English)In: Medicinteknikdagarna 2007, 2007, p. 1-Conference paper, Published paper (Other (popular science, discussion, etc.))
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-12575 (URN)
Available from: 2008-01-10 Created: 2008-01-10 Last updated: 2018-08-24Bibliographically approved
Karlsson, P., Lindblad, J., Bengtsson, E., Höglund, A.-S., Liu, J. & Larsson, L. (2007). Analysis of Skeletal Fibers in Three Dimensional Images: Methodological considerations. In: XXXVIth European Muscle Conference of the European Society for Muscle Research: European Muscle Conference 2007 (pp. 130).
Open this publication in new window or tab >>Analysis of Skeletal Fibers in Three Dimensional Images: Methodological considerations
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2007 (English)In: XXXVIth European Muscle Conference of the European Society for Muscle Research: European Muscle Conference 2007, 2007, p. 130-Conference paper, Published paper (Other academic)
Abstract [en]

Knowledge of the detailed three dimensional organization of nuclei in skeletal muscle fibers is of fundamental importance for the understanding of the basic mechanisms involved in muscle wasting associated with for example neuromuscular disorders and aging. An ongoing interdisciplinary collaboration between the Centre for Image Analysis (CBA), and the Muscle Research Group (MRG), both at Uppsala University, addresses the issue of spatial distribution of myonuclei using confocal microscopic techniques together with advanced methods for computerized image analysis.

Performing quantitative analysis on true three dimensional volume images captured by confocal microscopy gives us the option to perform in-depth statistical analysis of the relationship between neighboring myonuclei. The three dimensional representation enables extraction of a number of features for individual myonuclei, e.g., size and shape of a nucleus, and the myonuclear domain (in which each myonucleus control the gene products). This project investigates data sets from single muscle fibers sampled from mouse, rat, pig, human, horse and rhino to determine the myonuclei arrangement between species with a 100,000 fold difference in body weight.

The appropriate image analysis tools needed for gaining the understanding of organization in three dimensional volume images are developed within the project to facilitate the analysis of similarities between species, and unique features within a species. The accumulated understanding of the spatial organization of myonuclei, and the effect of individual myonuclei size, will lead to an increased knowledge of basic mechanisms underlying muscle wasting in various neuromuscular disorders. This knowledge will hopefully lead to new therapeutic strategies that can be evaluated in experimental animal models prior to clinical testing trials in patients.

National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:uu:diva-12567 (URN)
Note
Abstract at p. 101.Available from: 2008-01-07 Created: 2008-01-07 Last updated: 2018-08-24Bibliographically approved
Höglund, A.-S., Liu, J., Karlsson, P., Lindblad, J., Borgefors, G., Bengtsson, E. & Larsson, L. (2007). The spatial distribution of nuclei in single skeletal muscle cells as visualised by 3-D images:: the differences in organisation between species and between healthy cells and cells affected by disease. In: Biophysical Journal: 637A-637A Suppl. S.
Open this publication in new window or tab >>The spatial distribution of nuclei in single skeletal muscle cells as visualised by 3-D images:: the differences in organisation between species and between healthy cells and cells affected by disease
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2007 (English)In: Biophysical Journal: 637A-637A Suppl. S, 2007Conference paper, Published paper (Other scientific)
Identifiers
urn:nbn:se:uu:diva-12445 (URN)0006-3495 (ISBN)
Available from: 2007-12-20 Created: 2007-12-20 Last updated: 2018-08-24
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