Mouse brain atlas drawing auxiliary system and method based on computer vision

Abstract

The invention discloses a mouse brain atlas drawing auxiliary system and method based on computer vision. The system comprises a preprocessing module; a detection module, wherein the input end of thedetection module is connected with the first output end of the preprocessing module, and the detection module detects neuronal cells; a registration module, wherein the input end of the registration module is connected with the second output end of the preprocessing module for registration comparison; a recognition partitioning module, wherein the input end of the recognition partitioning module is connected with the output end of the registration module, and the recognition partitioning module partitions the mouse brain microscopic image; a mapping module, wherein the first input end of the mapping module is connected with the output end of the detection module, the second input end of the mapping module is connected with the output end of the identification partition module, and the neuron cell bodies and the mouse brain microscopic image partition are mapped in a one-to-one mode to complete mouse brain atlas auxiliary drawing. According to the method, the problems of insufficient accuracy of existing software and incomplete application of a deep learning algorithm are solved, image decomposition and image feature extraction and detection are carried out by virtue of a computer vision algorithm, and automatic and semi-automatic operation of a mouse brain atlas drawing auxiliary system is realized.

Description

technical field [0001] The invention relates to the field of computer vision software, in particular to a computer vision-based auxiliary system and method for drawing a mouse brain atlas. Background technique [0002] The drawing of brain connection map is of great significance for in-depth understanding of brain function, simulation of brain neural network, and development of brain-inspired artificial intelligence. As the basic unit of neural network, neurons can be divided into various types according to their morphology, development, connection, function and gene expression. Neural circuits formed by interconnections between different types of neurons are technical structures that carry various brain functions. In the early days of the development of neuroscience research, due to the lack of neuron-level resolution of brain maps, it was impossible to distinguish neuron types, verify the actual existence of synaptic connections or distinguish direct and indirect connecti...

AI Technical Summary

Problems solved by technology

This system solves the problems of insufficient accuracy of existing software and incomplete application of deep learning algorithms. For the special needs of mouse brain map drawing, it uses computer vision algorithms to decompose large-scale images and extract and detect automatic image features. Functions of visual, interactive, automatic and semi-automatic operation of mouse brain atlas drawing auxiliary system

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