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The Synapse

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.

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Related Experiment Video

Updated: Jul 24, 2025

Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number

Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number

Published on: November 16, 2010

SynBot: An open-source image analysis software for automated quantification of synapses.

Justin T Savage¹, Juan Ramirez¹, W Christopher Risher²

¹Department of Neurobiology, Duke University Medical Center, Durham, NC 27710, USA.

Biorxiv : the Preprint Server for Biology

|July 10, 2023

Summary

Synaptogenesis, the formation of brain connections, is vital for function. A new open-source software, SynBot, automates synapse quantification from images, enabling faster, reproducible research on nervous system health and disease.

Keywords:

FIJI image analysis immunofluorescence machine learning microscopy synapse

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Last Updated: Jul 24, 2025

Quantifying Synapses: an Immunocytochemistry-based Assay to Quantify Synapse Number

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Published on: November 16, 2010

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Automated Quantification of Synaptic Fluorescence in C. elegans

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Published on: August 10, 2012

Area of Science:

Neuroscience
Cell Biology
Computational Biology

Background:

Precise formation of neuronal connections (synapses) is essential for brain function.
Synaptogenesis research is critical, often using immunohistochemistry and light microscopy for synapse visualization.
Current synapse quantification methods are low-throughput, difficult to learn, and yield variable results, especially with noisy images.

Purpose of the Study:

To develop an automated, open-source software solution for high-throughput synapse quantification.
To overcome the limitations of manual analysis in synapse counting from microscopy images.
To facilitate rapid and reproducible screening of synaptic phenotypes in neuroscience research.

Main Methods:

Development of SynBot, an open-source ImageJ-based software.
Integration of advanced algorithms, ilastik and SynQuant, for accurate synaptic puncta identification and thresholding.
Automation of the synapse quantification process from light microscopy images.

Main Results:

SynBot provides automated analysis for synapse quantification, addressing technical bottlenecks.
The software enables accurate thresholding for synaptic puncta identification.
SynBot allows for rapid and reproducible screening of synaptic phenotypes.

Conclusions:

SynBot offers a solution for efficient and reliable synapse quantification in neuroscience.
The open-source nature and modifiable code empower researchers to adapt the tool.
This automation facilitates the study of synaptic development and dysfunction in both healthy and diseased nervous systems.