DNA ploidy quantitative analysis method and system based on Pasteur staining mode

A technique of Papanicolaou staining and quantitative analysis, applied in the field of medical cell image processing, can solve the problems of time-consuming and manual participation

Pending Publication Date: 2021-05-04
深思考人工智能机器人科技(北京)有限公司
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Problems solved by technology

The DNA ploidy analysis method based on Pap stained cell glass images can effectively solve the time-consuming and labor-intensive quantitative

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  • DNA ploidy quantitative analysis method and system based on Pasteur staining mode
  • DNA ploidy quantitative analysis method and system based on Pasteur staining mode
  • DNA ploidy quantitative analysis method and system based on Pasteur staining mode

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Embodiment Construction

[0039] 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 with reference to the accompanying drawings and examples.

[0040] As can be seen from the background technology, the use of cells based on Pap staining for DNA ploidy analysis can effectively solve the existing DNA ploidy quantitative analysis method based on Forgen's staining of cell images. time-consuming, manual intervention and other issues. However, when the Papanicolaou staining method is used to stain the cells, the nucleus and cytoplasm in the cells are stained at the same time, and it also has a certain staining effect on the non-DNA substances in the nucleus. DNA material, making quantitative analysis of DNA ploidy inaccurate. Therefore, in the embodiment of the present invention, the cell slide obtained by staining by Papanicolaou staining is scanned to obtain a cell image, and the single cell in th...

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Abstract

The invention relates to a method and a system for performing DNA ploidy quantitative analysis on a cell image based on a Pasteur staining mode. A cell slide obtained by staining in the Pasteur staining mode is scanned, a single cell in the obtained cell image is processed by adopting a set integral optical density analysis model to obtain an integral optical density value of the single cell, after all the single cells are detected by adopting a set cell detection model, part of the single cells are selected from all the single cells which are detected to be normal to serve as sample cells, the counted integral optical density mean value of the sample cells serves as a control value, and a DNA quantitative analysis result of the cell slide is obtained according to the calculated DNA indexes of all the cells in the cell slide, wherein the analysis model adopts a regression neural network of an attention mechanism and a feature pyramid mechanism, and is obtained by training by taking an integral optical density value under Foer root staining corresponding to a single cell under Pasteur staining as a regression target. According to the invention, the accuracy of quantitative analysis of the DNA ploidy is ensured.

Description

technical field [0001] The invention relates to medical cell image processing technology, in particular to a method and system for quantitatively analyzing deoxyribonucleic acid (DNA) ploids based on cell images in Papanicolaou staining. Background technique [0002] Cancer is a chromosomal disorder in which carcinogens, rare genetic disorders, and occasional mitotic errors can all produce aneuploidy that can lead to tumors. Studies have shown that changes in the genome of cells and the appearance of aneuploid cells in specimens are early events in the development of cancer and can be used as tumor detection markers. Using DNA ploidy quantitative analysis technology to measure and analyze nuclear DNA content and ploidy status is an important method in the diagnosis of malignant tumors. It has been widely used in various cytological examinations. The process is: based on the acquired Cell slides are made from the cell samples; after the cell images are collected on the cell ...

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Application Information

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IPC IPC(8): G16B5/00G06T7/00G06N3/04G06N3/08
CPCG06N3/04G06N3/08G06T7/0012G06T2207/10056G06T2207/20016G06T2207/20081G06T2207/20084G06T2207/30096G16B5/00
Inventor 杨志明
Owner 深思考人工智能机器人科技(北京)有限公司
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