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A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages

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Herold, Julia, Abouna, Sylvie, Zhou, Luxian, Pelengaris, Stella, Epstein, David B. A., Khan, Michael and Nattkemper, Tim W. (2008) A machine learning based system for multichannel fluorescence analysis in pancreatic tissue bioimages. In: 8th IEEE International Conference on Bioinformatics and Bioengineering, Athens, Greece, October 08-10, 2008. Published in: Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, Vol.1-2 pp. 881-886.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/BIBE.2008.4696798

Abstract

Fluorescence microscopy has regained much attention in the last years especially in the field of systems biology. It has been recognized as a rich source of information extending the existing sources since it allows simultaneous collection of spatial and temporal protein information. In order to enable a high-throughput and high-content image analysis, sophisticated image processing routines become essential. We present a machine learning based approach for semantic image annotation i.e. identifying biologically meaningful objects. A semantic annotation becomes necessary, if image variables have to be associated to single biological objects, for example cells. We apply our method to pancreatic tissue sample images to detect and annotate cells of the Islets of Langerhans and whole pancreas. Based on the annotation, aligned multichannel fluorescence images are evaluated for cell type classification allowing accurate and rapid determination of the cell number and mass. This high-throughput analytical technique, requiring only few parameters, should he of great value in diabetes studies and for screening of new anti-diabetes treatments.

Item Type: Conference Item (UNSPECIFIED)
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Science > Life Sciences (2010- )
Faculty of Science > Mathematics
Journal or Publication Title: Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering
Publisher: IEEE
Book Title: 2008 8th IEEE International Conference on BioInformatics and BioEngineering
Date: 2008
Volume: Vol.1-2
Page Range: pp. 881-886
Identification Number: 10.1109/BIBE.2008.4696798
Status: Not Peer Reviewed
Access rights to Published version: Restricted or Subscription Access
Title of Event: 8th IEEE International Conference on Bioinformatics and Bioengineering
Type of Event: Conference
Location of Event: Athens, Greece
Date(s) of Event: October 08-10, 2008
URI: http://wrap.warwick.ac.uk/id/eprint/42275

Data sourced from Thomson Reuters' Web of Knowledge

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