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Electron microscopy serial slice image-based synapse detection method

A synapse and sequence technology, applied in the fields of pattern recognition and neurology, can solve the problems of restricting synapse research and achieve good results and precise synapse detection

Active Publication Date: 2017-02-15
中科观微北京科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, it is no longer a problem to obtain large-scale images of neurons based on electron microscope serial slices, but the detection of synapses from large-scale data has largely restricted the study of synapses.

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  • Electron microscopy serial slice image-based synapse detection method
  • Electron microscopy serial slice image-based synapse detection method
  • Electron microscopy serial slice image-based synapse detection method

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Embodiment Construction

[0060]In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0061] An embodiment of the present invention provides a synapse detection method based on an electron microscope sequence slice image. The method can include:

[0062] S100: Acquiring sliced ​​images of electron microscope sequences.

[0063] Among them, the serial slice images of the electron microscope can be obtained by AUTM-SEM.

[0064] S110: Stitching and aligning the sliced ​​images of the electron microscope sequence.

[0065] S120: Adaboost algorithm is used to detect synapses for the spliced ​​and aligned monolayer electron microscope sequence slice images.

[0066] This step can further include:

[0067] S121: Create training samples.

[0068] In this step, a training set can be created based on the self-built synaptic data...

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Abstract

The present invention discloses an electron microscopy serial slice image-based synapse detection method and belongs to the pattern recognition the neuroscience field. The method includes the following steps that: electron microscopy serial slice images are spliced and aligned; synapse detection is performed on a spliced and aligned single-layer electron microscopy serial slice image through using the Adaboost algorithm; and synapse recognition is performed based on synapse features, synapse filtering is performed by using context clues, and synapse three-dimensional reconstruction is performed based on the result of the synapse filtering. With the method of the present invention adopted, efficient and accurate synapse detection can be achieved.

Description

technical field [0001] The invention relates to the fields of pattern recognition and neurology, in particular to a synapse detection method based on electron microscope sequence slice images. Background technique [0002] In recent years, neuroscience is a research hotspot, among which synapse is an important research object. Synapse is the key part of information transmission and information integration between neurons, and the basic unit of interconnection between neurons, which consists of presynaptic membrane, synaptic cleft and postsynaptic membrane. Synapse is not only the basis for studying the normal electrophysiology and function of the nervous system, but also a breakthrough for studying the mechanism of nervous system diseases. Therefore, it is of great significance to study synapses. [0003] At present, it is no longer a problem to obtain large-scale neuron images based on electron microscope serial slices, but detecting synapses from large-scale data largely ...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/62G06T7/00G06T3/40G06T7/30G06T7/10
CPCG06T3/4038G06T7/0012G06T2207/20036G06T2207/20081G06T2207/30004G06T2207/10061G06V10/44G06V2201/03G06F18/2148
Inventor 谢启伟韩华陈曦沈丽君李国庆
Owner 中科观微北京科技有限公司
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