Cancer cell detection method based on flow cytometry
Through the combination of flow cytometry and computer algorithms, the traumatic and subjective problems of traditional detection methods are solved, rapid and accurate cancer cell detection is achieved, and better cancer diagnosis and treatment strategies are provided.
CN119164862APending Publication Date: 2024-12-20SUZHOU NANO HEALTH RES INST CO LTD
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Patent Information
- Application Number
- CN202310700484.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-06-14
- Publication Date
- 2024-12-20
AI Technical Summary
Technical Problem
Traditional cancer detection methods are traumatic, subjective, and limited accuracy in detection of small tumors or early cancers. Flow cytometry has challenges in detecting low-frequency cancer cells and big data analysis in complex samples.
Method used
By collecting biological samples, performing cell lysis and processing, selecting specific antibody labeling agents to label cancer cells, and using flow cytometry and computer algorithms to perform fluorescence signal analysis, to achieve rapid and accurate detection and quantitative analysis of cancer cells.
Benefits of technology
High-throughput and accurate cancer cell detection is achieved, artificial errors are reduced, and better cancer diagnosis and treatment strategies are provided.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to a cancer cell detection method based on flow cytometry. The cancer cell detection method can be used for rapidly and accurately detecting and analyzing cancer cells in an in-vivo sample. The method comprises the following steps: collecting a sample to be detected, obtaining a suspension of single cells through cell lysis and treatment steps, selecting a specific antibody labeling agent to label cancer cells, and then analyzing through flow cytometry. Flow cytometry uses devices such as laser, optical sensors and detectors to measure characteristic parameters of cells in a labeled sample, such as size, shape and fluorescence signals. Flow cytometry data are analyzed and interpreted through a computer algorithm, whether cancer cells exist in a sample or not can be determined, and the number and characteristics of the cancer cells are further analyzed quantitatively. The method provided by the invention has the advantages of high throughput, accuracy and automatic analysis, and can provide important auxiliary information for early diagnosis and treatment of cancers.
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