Langenkamper, D., Kolling, J., Abouna, Sylvie, Khan, Michael, Niehaus, K. and Nattkemper, T. W. (2011) TICAL - a web-tool for multivariate image clustering and data topology preserving visualization. In: MIAAB 2011 (Microscopic Image Analysis with Applications in Biology), Heidelberg, Germany, Sept 2, 2011. Published in: Proceedings of the 2011 Microscopic Image Analysis with Applications in Biology (In Press)

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Abstract

In life science research bioimaging is often used to study two kinds of features in a sample simultaneously: morphology and co-location of molecular components. While bioimaging technology is rapidly proposing and improving new multidimensional imaging platforms, bioimage informatics has to keep pace in order to develop algorithmic approaches to support biology experts in the complex task of data analysis. One particular problem is the availability and applicability of sophisticated image analysis algorithms via the web so different users can apply the same algorithms to their data (sometimes even to the same data to get the same results) and independently from her/his whereabouts and from the technical features of her/his computer. In this paper we describe TICAL, a visual data mining approach to multivariate microscopy analysis which can be applied fully through the web.We describe the algorithmic approach, the software concept and present results obtained for different example images.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > Q Science (General)
Divisions:	Faculty of Science > Life Sciences (2010- )
Journal or Publication Title:	Proceedings of the 2011 Microscopic Image Analysis with Applications in Biology
Date:	2011
Status:	Not Peer Reviewed
Publication Status:	In Press
Access rights to Published version:	Restricted or Subscription Access
Title of Event:	MIAAB 2011 (Microscopic Image Analysis with Applications in Biology)
Type of Event:	Conference
Location of Event:	Heidelberg, Germany
Date(s) of Event:	Sept 2, 2011
URI:	http://wrap.warwick.ac.uk/id/eprint/42281

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