Automated analysis of morphological and synaptic characteristics in neurons

Abstract

Event Abstract Back to Event Automated analysis of morphological and synaptic characteristics in neurons Johannes Hjorth1* and Sabine Schmitz1 1 Vrije Universiteit Amsterdam, UK Differences in morphology and distribution of synapses and proteins have implications for the function of neurons. Manual quantification of protein expression in immuno-fluorescence images is both time consuming and prone to observer bias. Here we present SynD, a MATLAB based program, developed to automatically analyze dendrite and synapse characteristics in immuno-fluorentscence images. The program uses a combination of steerable filters and deconvolution to detect dendrites and synapses. It reports dendrite morphology, synapse size, number and distribution, as well as protein expression at the soma, at synapses and as a function of distance from the soma. The dendritic tree is characterized using Sholl analysis. The automatic measures have been compared to manually traced neurons and synapses showing good accuracy. Results are exported as csv files readable by excel and to user-friendly summary figures. Reference: Automated analysis of neuronal morphology, synapse number and synaptic recruitment. Schmitz SK, Hjorth JJJ, et al 2011, J Neurosci Methods 195(2):185-93 doi: http://dx.doi.org/10.1016/j.jneumeth.2010.12.011 Keywords: Neuroimaging, immuno-fluorescence images, Neuroscience, SynD, morphology Conference: 5th INCF Congress of Neuroinformatics, Munich, Germany, 10 Sep - 12 Sep, 2012. Presentation Type: Demo Topic: Neuroinformatics Citation: Hjorth J and Schmitz S (2014). Automated analysis of morphological and synaptic characteristics in neurons. Front. Neuroinform. Conference Abstract: 5th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2014.08.00048 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 21 Mar 2013; Published Online: 27 Feb 2014. * Correspondence: Dr. Johannes Hjorth, Vrije Universiteit Amsterdam, Cambridge, UK, hjorth@kth.se Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Johannes Hjorth Sabine Schmitz Google Johannes Hjorth Sabine Schmitz Google Scholar Johannes Hjorth Sabine Schmitz PubMed Johannes Hjorth Sabine Schmitz Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.