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Neural stem cell differentiation direction prediction system and method based on deep learning

A neural stem cell and direction prediction technology, applied in the field of neural stem cell differentiation direction prediction system, can solve the problems of inability to achieve high-throughput data training and judgment system, and inability to universally apply neural stem cells

Active Publication Date: 2020-09-15
SHANGHAI TONGJI HOSPITAL
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  • Abstract
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Problems solved by technology

However, this research mainly focuses on the lineage selection of hematopoietic stem cells, and the prediction based on the change images of hematopoietic stem cells cannot be universally applied to neural stem cells. Moreover, this research is based on microscopic imaging technology, which has certain defects in the amount of data. Judgment system that cannot achieve higher accuracy and efficiency achieved by high-throughput data training
[0006] Based on the above, the existing judgment and prediction system for the differentiation direction of neural stem cells cannot meet the growing needs of scientific research. Therefore, it is very important to establish a more simple, efficient, accurate and low-cost high-throughput prediction system

Method used

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  • Neural stem cell differentiation direction prediction system and method based on deep learning
  • Neural stem cell differentiation direction prediction system and method based on deep learning
  • Neural stem cell differentiation direction prediction system and method based on deep learning

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Embodiment 1

[0153] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. Example 1 The neural stem cell differentiation direction prediction model based on deep learning of the present invention

[0154] The following is the model construction process, including two main parts, namely the construction of training data and the establishment of neural network modules.

[0155] 1. Data construction process

[0156] The training data comes from the construction of the three-line differentiation system of neural stem cells:

[0157] 1. Prepare the neural stem cells in good condition from the third to the fifth gen...

Embodiment 2

[0275] Example 2 The neural stem cell differentiation direction prediction method based on deep learning of the present invention

[0276] See figure 2 , the present embodiment provides a neural stem cell differentiation direction prediction method based on deep learning, comprising the following steps:

[0277] S100, using a panoramic flow cytometer to collect images of cells differentiated and cultured from neural stem cells, including images of cells differentiated into neurons, astrocytes, and oligodendrocytes in three directions;

[0278] S200, the neural stem cell differentiation and culture cell image collected by the panoramic flow cytometer is input into the convolutional neural network model, and effective features are automatically extracted by the convolutional neural network model, and the neural stem cell differentiation direction prediction model is obtained through training;

[0279] S300, collecting the cell images of the neural stem cells whose differentiat...

Embodiment 3

[0363] Example 3 The neural stem cell differentiation direction prediction system based on deep learning of the present invention

[0364] See image 3 , the present embodiment provides a neural stem cell differentiation direction prediction system based on deep learning, including:

[0365] Panoramic flow cytometer 100, used to acquire cell images of neural stem cell differentiation culture. Panoramic flow cytometer is one of the routine experimental equipment in this field. It can not only obtain population analysis data of a large number of cells, but also can see cell images in real time, so that the analysis results of each step can be confirmed by images. The more mainstream panoramic flow cytometry equipment includes the FlowSight multi-dimensional panoramic flow cytometer from Merck Millipore, Germany.

[0366] The neural stem cell differentiation direction prediction model 200 is used to receive the cell image of the neural stem cell differentiation culture collecte...

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Abstract

The invention relates to a neural stem cell differentiation direction prediction system and method based on deep learning. According to the invention, the high-throughput processing capability of a flow cytometry on cells is combined; experimental means are creatively utilized to collect a cell image of neural stem cell differentiation culture acquired by a panoramic flow cytometer; a cell training data set for three-line differentiation of the neural stem cells is established; a convolutional neural network is utilized to perform model training optimization, a set of accurate, efficient, simple to operate, time-saving and low-consumption prediction system is established, the limitation of various technologies for evaluating neural stem cell differentiation by an existing laboratory methodcan be overcome, and the neural stem cell differentiation direction can be conveniently, quickly, efficiently and accurately predicted.

Description

technical field [0001] The invention relates to the technical fields of biomedicine and artificial intelligence, in particular to a system and method for predicting the differentiation direction of neural stem cells based on deep learning. Background technique [0002] Neural stem cells (Neural stem cells, NSCs) are a type of stem cells that exist in the central nervous system, and have the following characteristics: 1) can form nerve tissue; 2) have the ability of self-reproduction and self-renewal; 3) have the ability to differentiate into neurons, Astrocyte and oligodendrocyte potential. In recent years, neural stem cells have great potential in both basic biological exploration and cell-based therapy of central nervous system diseases. At present, the therapeutic prospects of neural stem cells are mainly limited by the inability to precisely control the behavior of stem cells in the culture process. How to precisely regulate the directional differentiation of neural ste...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04C12M1/34
CPCC12M41/36G06V20/698G06N3/045G06F18/214Y02A90/10
Inventor 程黎明朱融融朱颜菁
Owner SHANGHAI TONGJI HOSPITAL
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