Automated Detection and Localization of Synaptic Vesicles in Electron Microscopy Images.

ABSTRACT: Information transfer and integration in the brain occurs at chemical synapses and is mediated by the fusion of synaptic vesicles filled with neurotransmitter. Synaptic vesicle dynamic spatial organization regulates synaptic transmission as well as synaptic plasticity. Because of their small size, synaptic vesicles require electron microscopy (EM) for their imaging, and their analysis is conducted manually. The manual annotation and segmentation of the hundreds to thousands of synaptic vesicles, is highly time consuming and limits the throughput of data collection. To overcome this limitation, we built an algorithm, mainly relying on convolutional neural networks (CNNs), capable of automatically detecting and localizing synaptic vesicles in electron micrographs. The algorithm was trained on

SUBMITTER: Imbrosci B 

PROVIDER: S-EPMC8805189 | biostudies-literature | 2022 Jan-Feb

REPOSITORIES: biostudies-literature