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Authors: Gadea Mata 1 ; Jónathan Heras 1 ; Miguel Morales 2 ; Ana Romero 1 and Julio Rubio 1

Affiliations: 1 Universidad de La Rioja, Spain ; 2 Universitat Autònoma de Barcelona, Spain

Keyword(s): Synapses, Synaptic Density, Image Processing, ImageJ.

Related Ontology Subjects/Areas/Topics: Bioimaging ; Biomedical Engineering ; Confocal Microscopy ; Feature Recognition and Extraction Methods ; Image Processing Methods

Abstract: The quantification of synapses is instrumental to measure the evolution of synaptic densities of neurons under the effect of some physiological conditions, neuronal diseases or even drug treatments. However, the manual quantification of synapses is a tedious, error-prone, time-consuming and subjective task; therefore, tools that might automate this process are desirable. In this paper, we present SynapCountJ, an ImageJ plugin, that can measure synaptic density of individual neurons obtained by immunofluorescence techniques, and also can be applied for batch processing of neurons that have been obtained in the same experiment or using the same setting. The procedure to quantify synapses implemented in SynapCountJ is based on the colocalization of three images of the same neuron (the neuron marked with two antibody markers and the structure of the neuron) and is inspired by methods coming from Computational Algebraic Topology. SynapCountJ provides a procedure to semi-automatically quan tify the number of synapses of neuron cultures; as a result, the time required for such an analysis is greatly reduced. (More)

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Paper citation in several formats:
Mata, G. ; Heras, J. ; Morales, M. ; Romero, A. and Rubio, J. (2016). SynapCountJ: A Tool for Analyzing Synaptic Densities in Neurons. In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 25-31. DOI: 10.5220/0005637700250031

@conference{bioimaging16,
author={Gadea Mata and Jónathan Heras and Miguel Morales and Ana Romero and Julio Rubio},
title={SynapCountJ: A Tool for Analyzing Synaptic Densities in Neurons},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING},
year={2016},
pages={25-31},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005637700250031},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIOIMAGING
TI - SynapCountJ: A Tool for Analyzing Synaptic Densities in Neurons
SN - 978-989-758-170-0
IS - 2184-4305
AU - Mata, G.
AU - Heras, J.
AU - Morales, M.
AU - Romero, A.
AU - Rubio, J.
PY - 2016
SP - 25
EP - 31
DO - 10.5220/0005637700250031
PB - SciTePress