Deep learning based multifunctional synaptic analysis of electron microscope images

Published: 16 May 2022| Version 1 | DOI: 10.17632/7b4wbx3wcg.1
Contributors:
Feng Su,
Mengping Wei,
meng sun,
Lixin Jiang,
Zhaoqi Dong,
Jue Wang,
Chen Zhang

Description

Synaptic analysis with regard to its number and fine morphology are the basis for the understanding of neurological functions and diseases. Manually analyzing synaptic structures in images obtained from electron microscope (EM) often encountered with limitations such as low efficiency and subjective bias. In this study, we developed a multifunctional synaptic analysis system based on several advanced deep learning (DL) models. The system achieved synapse counting in low-magnification EM images and synaptic ultrastructure analysis in high-magnification EM images.

Files

Steps to reproduce

Run the main.m file in each folder (download pre-trained models from BaiduDisk first). Matlab R2021a or higher versions is required.

Categories

Electron Microscopy, Synapse, Deep Learning

License