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A method and device for visualizing long-range projection neurons

A neuron and projection image technology, applied in the field of neuroscience image analysis, can solve problems such as difficult to directly process long-range projection neurons

Active Publication Date: 2021-01-05
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] In view of the defects of the prior art, the purpose of the present invention is to provide a visualization method of long-range projection neurons, aiming to solve the problem that the current three-dimensional large-volume image data visualization software is difficult to directly process long-range projection neurons

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  • A method and device for visualizing long-range projection neurons
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  • A method and device for visualizing long-range projection neurons

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[0025] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute conflicts with each other.

[0026] In this embodiment, the size of the submicron-resolved neuron morphology dataset of the whole mouse brain is 30380×49000×8179 (0.2×0.2×1.0um 3 ), about 7.24TB in total. The mouse brain neuron morphology data set contains a long-range projection pyramidal neuron that has been manually traced, and its length is about 10 4 um.

[0027] Such as figure 1 Shown is a schematic flowchart of...

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Abstract

The invention discloses a visualization method and device for long-range projection neurons. The method comprises the following steps: splitting an artificially tracked neuron skeleton tree to obtaina plurality of sub-segment fibers; extracting a neighborhood three-dimensional image signal of the sub-segment fiber and projecting the neighborhood three-dimensional image signal; and combining the projection images of the sub-segment fibers to obtain a complete image signal of the neurons. The device comprises a first acquisition module used for acquiring a projection image of neuron sub-segmentfibers based on an artificially tracked neuron skeleton tree; and a second acquisition module which is used for combining all the neuron sub-segment fiber projection images to obtain neuron completeimage signals. According to the method, complete image information of a single neuron can be quickly extracted according to the whole cranial nerve element morphological data set and the artificiallytracked neuron skeleton file, so that a neuroscience researcher can quickly visualize original image data of the whole neuron conveniently.

Description

technical field [0001] The invention belongs to the field of neuroscience image analysis, and more specifically relates to a visualization method and device for long-distance projection neurons. 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 and the analysis of projection patterns and synaptic connections. In recent years, the research of fluorescent sparse labeling and large-volume fine imaging technology has made it possible to obtain neuromorphic whole-brain neuron morphology datasets at submicron resolution, which provide complete morphological information of neurons. When analyzing and studying neuron morphology, projection patterns and synaptic connections, we usually need to trace the skeleton structure of neurons, and also need to extract the original image data of the traced neurons and be able to visualize them. The skeleto...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/00G06T15/00
CPCG06T11/003G06T15/005
Inventor 骆清铭龚辉程胜华王小俊刘钰蓉曾绍群
Owner HUAZHONG UNIV OF SCI & TECH
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