Method and device for identifying brain region position of fresh and live in-vitro tissue

Abstract

The invention discloses a method for identifying a brain region position of fresh and live in-vitro brain tissue. The method comprises the following steps: S1. obtaining a brain tissue atlas identification model corresponding to an experimental object from a brain atlas model library according to the experimental object where the fresh and live in-vitro brain tissue is derived; S2. acquiring brainslice image signals of the fresh and live in-vitro brain tissue; S3. extracting an eigen value of the brain slice image signals from the brain slice image signals; and S4. analyzing the extracted eigen value by adopting the brain tissue atlas identification model, so as to identify a brain atlas corresponding to a brain slice image of the fresh and live in-vitro brain tissue and identify variousbrain regions on the brain slice image. The invention discloses a device for identifying the brain region position of the fresh and live in-vitro brain tissue. The device comprises an image obtainingmodule, an image acquisition module, an image extraction module and an image identification module. According to the method and the device, the transformation to that a brain region structure of an in-vitro fresh and live brain tissue slice is observed, identified and labeled by machines from that the brain region structure of the in-vitro fresh and live brain tissue slice is observed and identified manually can be achieved.

Description

technical field [0001] The invention belongs to the technical field of neuroscience research experiments, and in particular relates to a method and a device for identifying brain regions of fresh and living isolated tissues. Background technique [0002] The brain is the most complex organ in animals. It is composed of a large number of neurons and other cells with different shapes and functions. Learning and memory, emotion, cognition, consciousness and other activities are encoded through different neurons and neural networks. Studying and understanding the brain is the basis for treating neuropsychiatric diseases, simulating brain functions, and optimizing artificial intelligence. With the emergence and mature application of immunohistochemical staining, fluorescent transgenic technology and other chromogenic methods, people have a more detailed understanding of the brain region structure of various model animals such as mice and rats, and have completed the mapping of th...

AI Technical Summary

Problems solved by technology

When using this type of brain atlas to identify and identify specific brain regions, it is often a great challenge for researchers. It usually requires experienced researchers to carefully compare the brain atlas with actual brain tissue slices in order to accurately identify the relevant brain regions. Area

In addition, due to differences in the age, weight, and gender of the experimental subjects used in the study, there are also certain deviations in the location of the brain regions. Fresh brain tissue is different from fixed and stained brain tissue sections. From the image, it is mainly gray and white. And it is usually 200-400 microns thick; and in actual operation, it is necessary to keep the neurons on the brain slices to maintain good activity, and it is necessary to perfuse artificial cerebrospinal fluid in real time. These factors allow the identification of specific brain regions on isolated fresh brain tissue slices It has brought great difficulties, which has caused serious troubles to researchers in the study of brain science, especially in the study of the physiological function of cells in specific brain regions in isolated fresh brain tissue slices

According to the traditional atlas recognition method, it is not only time-consuming and labor-intensive, but also often leads to large errors due to individual differences in animals and differences in the position of brain tissue slices.

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