SynapseJ: An Automated, Synapse Identification Macro for ImageJ.

ABSTRACT: While electron microscopy represents the gold standard for detection of synapses, a number of limitations prevent its broad applicability. A key method for detecting synapses is immunostaining for markers of pre- and post-synaptic proteins, which can infer a synapse based upon the apposition of the two markers. While immunostaining and imaging techniques have improved to allow for identification of synapses in tissue, analysis and identification of these appositions are not facile, and there has been a lack of tools to accurately identify these appositions. Here, we delineate a macro that uses open-source and freely available ImageJ or FIJI for analysis of multichannel, z-stack confocal images. With use of a high magnification with a high NA objective, we outline two methods to identify pu

SUBMITTER: Moreno Manrique JF 

PROVIDER: S-EPMC8524137 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature