Automatic identification method and device for whole brain range single neuron axis sudden synaptic junction

Abstract

The invention discloses an automatic identification method and device for a whole brain range single neuron axis sudden synaptic junction. The method comprises the steps of carrying out the splittingof a neuron skeleton tree, obtaining a plurality of sub-segment fibers, and extracting the neighborhood image signals of the sub-segment fibers; carrying out the adaptive foreground segmentation on the neighborhood image signals of the sub-segment fibers, positioning the axonal expansion structures of the sub-segment fibers, and fusing the axonal expansion structures on all the sub-segment fibers;and classifying the axonal expansion structures by using a deep convolutional network, and removing the axonal expansion structures of the non-axonal sudden contact junctions in the axonal expansionstructures to obtain the final axonal sudden contact junctions. The device comprises an acquisition module and a classification module. According to the invention, the identification difficulties caused by the diverse shapes of the axonal synaptic junctions, adhesion of the axonal synaptic junctions, interference of false axonal synaptic junctions and the like can be overcome, all axonal synapticjunctions of a single nerve are quickly identified from a whole brain neuron morphological data set, and the accuracy of an identification result is kept while a whole brain oversized data set is quickly processed.

Description

technical field [0001] The invention belongs to the field of neuroscience image analysis, and more specifically relates to a method and device for automatic recognition of axonal synaptic junctions of a single neuron in the whole brain. Background technique [0002] Mapping neural circuits is one of the core goals of modern neuroscience, which relies on the fine reconstruction of single neuron morphology in the whole brain, including neuronal skeleton mapping and synaptic connection inference. Axon-synaptic junction in light microscope image is a typical presynaptic structure. Axon-synaptic junctions are the junctions of neurons that indicate how neural circuits are connected, so identifying single-neuron axon-synaptic junctions is critical to interpreting the connectivity patterns of neural circuits. In addition, axon-synaptic junction distribution patterns acquired at the single-neuron level can also provide more comprehensive and fine-grained structural information for d...

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Problems solved by technology

[0005] Aiming at the defects of the prior art, the purpose of the present invention is to provide a method and device for automatic recognition of axonal synaptic junctions of a single neuron in the whole brain, aiming at solving the problems of the prior art for the shape and size of axonal synaptic junctions in different brain regions. Difficulties in identification such as inconsistency, partial overlap, and interference of axonal enlargement from non-axonal synaptic junctions

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