SynapsEM: Computer-Assisted Synapse Morphometry

Shigeki Watanabe, M. Wayne Davis, Grant F. Kusick, Janet Iwasa, Erik M. Jorgensen

Research output: Contribution to journalArticlepeer-review

Abstract

The structural features of a synapse help determine its function. Synapses are extremely small and tightly packed with vesicles and other organelles. Visualizing synaptic structure requires imaging by electron microscopy, and the features in micrographs must be quantified, a process called morphometry. Three parameters are typically assessed from each specimen: (1) the sizes of individual vesicles and organelles; (2) the absolute number and densities of organelles; and (3) distances between organelles and key features at synapses, such as active zone membranes and dense projections. For data to be meaningful, the analysis must be repeated from hundreds to thousands of images from several biological replicates, a daunting task. Here we report a custom computer program to analyze key structural features of synapses: SynapsEM. In short, we developed ImageJ/Fiji macros to record x,y-coordinates of segmented structures. The coordinates are then exported as text files. Independent investigators can reload the images and text files to reexamine the segmentation using ImageJ. The Matlab program then calculates and reports key synaptic parameters from the coordinates. Since the values are calculated from coordinates, rather than measured from each micrograph, other parameters such as locations of docked vesicles relative to the center of an active zone can be extracted in Matlab by additional scripting. Thus, this program can accelerate the morphometry of synapses and promote a more comprehensive analysis of synaptic ultrastructure.

Original languageEnglish (US)
Article number584549
JournalFrontiers in Synaptic Neuroscience
Volume12
DOIs
StatePublished - Dec 18 2020

Keywords

  • electron microscopy
  • morphometry
  • synapse
  • SynapsEM
  • ultrastructural analysis

ASJC Scopus subject areas

  • Cellular and Molecular Neuroscience
  • Cell Biology

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