Finding cells, finding molecules, finding patterns

Authors:
Carolina Wählby;Patrick Karlsson;Sara Henriksson;Chatarina Larsson;Mats Nilsson;Ewert Bengtsson
Affiliations:
Centre for Image Analysis, Uppsala University, Sweden and Dept. of Genetics and Pathology, Uppsala University, Sweden;Centre for Image Analysis, Uppsala University, Sweden;Dept. of Genetics and Pathology, Uppsala University, Sweden;Dept. of Genetics and Pathology, Uppsala University, Sweden;Dept. of Genetics and Pathology, Uppsala University, Sweden;Centre for Image Analysis, Uppsala University, Sweden
Venue:
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Year:
2007

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Abstract

Many modern molecular labeling techniques result in bright point signals. Signals from molecules that are detected directly inside a cell can be captured by fluorescence microscopy. Signals representing different types of molecules may be randomly distributed in the cells or show systematic patterns indicating that the corresponding molecules have specific, non-random localizations and functions in the cell. Assessing this information requires high speed robust image segmentation followed by signal detection, and finally pattern analysis. We present and discuss this type of methods and show an example of how the distribution of different variants of mitochondrial DNA can be analyzed.