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Characterization of the Distance Relationship Between Localized Serotonin Receptors and Glia Cells on Fluorescence Microscopy Images of Brain Tissue

Published online by Cambridge University Press:  15 July 2015

Jaroslaw Jacak ,
Susanne Schaller ,
Daniela Borgmann  and
Stephan M. Winkler
Jaroslaw Jacak
Affiliation:
Department of Medical Engineering, University of Applied Sciences Upper Austria, Garnisonstraße 21, 4020 Linz, Austria Institute of Applied Physics, Johannes Kepler University Linz, Altenberger Straße 69, 4040 Linz, Austria
Susanne Schaller
Affiliation:
Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria
Daniela Borgmann
Affiliation:
Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria
Stephan M. Winkler*
Affiliation:
Bioinformatics Research Group, University of Applied Sciences Upper Austria, Softwarepark 11, 4232 Hagenberg, Austria
*
*Corresponding author.[email protected]
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Abstract

We here present two new methods for the characterization of fluorescent localization microscopy images obtained from immunostained brain tissue sections. Direct stochastic optical reconstruction microscopy images of 5-HT1A serotonin receptors and glial fibrillary acidic proteins in healthy cryopreserved brain tissues are analyzed. In detail, we here present two image processing methods for characterizing differences in receptor distribution on glial cells and their distribution on neural cells: One variant relies on skeleton extraction and adaptive thresholding, the other on k-means based discrete layer segmentation. Experimental results show that both methods can be applied for distinguishing classes of images with respect to serotonin receptor distribution. Quantification of nanoscopic changes in relative protein expression on particular cell types can be used to analyze degeneration in tissues caused by diseases or medical treatment.

Keywords

super-resolution microscopyimage processingserotonin receptorsbrain tissuespatial relationshipclustering
Type
Biological Applications and Techniques
Information
Microscopy and Microanalysis , Volume 21 , Supplement 4 , August 2015 , pp. 826 - 836
Copyright
© Microscopy Society of America 2015 

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