Published August 21, 2019 | Version v1
Book chapter Open

Automated macro approach to quantify synapse density in 2D confocal images from fixed immunolabeled neural tissue sections

  • 1. ROR icon Institut de Biologia Molecular de Barcelona

Contributors

Researcher:

  • 1. ROR icon Institut de Biologia Molecular de Barcelona

Description

This chapter describes an Image J/Fiji automated macro approach to estimate synapse densities in 2D fluorescence confocal microscopy images. The main step-by-step imaging workflow is explained, including example macro language scripts that perform all steps automatically for multiple images. Such tool provides a straightforward method for exploratory synapse screenings where hundreds-to-thousands of images need to be analyzed in order to render significant statistical information. The method can be adapted to any particular set of images where fixed brain slices have been immunolabeled against validated presynaptic and postsynaptic markers.

Files

Rebollo_SynapseDensityQuantification_2019_preprint.pdf

Files (4.9 MB)

Additional details

Software

Repository URL
https://github.com/MolecularImagingPlatformIBMB/Synapse_Counter
Programming language
ImageJ Macro
Development Status
Active