Literature DB >> 22841629

Digital detection and analysis of branching and cell contacts in neural cell cultures.

Karim El-Laithy1, Melanie Knorr, Josef Käs, Martin Bogdan.   

Abstract

Changes in human/animal behaviour and the involved neural functions are characterized by structural alterations in the brain circuitry. These changes comprise the formation of new synapses and the elimination of existing synapses aside from the modulation of connecting properties within other ones. The mechanisms of neuronal branching and cell contacting regulate and prepare for the processes of synaptic formation. In this study, we present a set of methods to detect, describe and analyse the dynamics attributed to the process of cell contacting in cell cultures in vitro. This involves the dynamics of branching and seeking for synaptic partners. The proposed technique formally distinguishes between the actual formed synapses and the potential synaptic sites, i.e. where cell contacts are likely. The study investigates the dynamic behaviour of these potential synaptic sites within the process of seeking for contacts. The introduced tools use morphological image processing algorithms to automatically detect the sites of interest. Results indicate that the introduced tools can reliably describe experimentally observed branching and seeking for contacts dynamics. Being straightforward in terms of implementation and analysis, our framework represents a solid method for studying the neural preparation phases of synaptic formation via cell contacting in random networks using standard phase contrast microscopy.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22841629     DOI: 10.1016/j.jneumeth.2012.07.007

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  3 in total

1.  AxonQuant: A Microfluidic Chamber Culture-Coupled Algorithm That Allows High-Throughput Quantification of Axonal Damage.

Authors:  Yang Li; Mengxue Yang; Zhuo Huang; Xiaoping Chen; Michael T Maloney; Li Zhu; Jianghong Liu; Yanmin Yang; Sidan Du; Xingyu Jiang; Jane Y Wu
Journal:  Neurosignals       Date:  2014-02-28

2.  Soma Detection in 3D Images of Neurons using Machine Learning Technique.

Authors:  Guan-Wei He; Ting-Yuan Wang; Ann-Shyn Chiang; Yu-Tai Ching
Journal:  Neuroinformatics       Date:  2018-01

3.  Automated detection of soma location and morphology in neuronal network cultures.

Authors:  Burcin Ozcan; Pooran Negi; Fernanda Laezza; Manos Papadakis; Demetrio Labate
Journal:  PLoS One       Date:  2015-04-08       Impact factor: 3.240

  3 in total

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