Stem cell culture information management method and system

By collecting and analyzing a variety of data in the stem cell culture process, establishing a growth prediction model and dynamically regulating the culture conditions, the problem of unstable stem cell culture success rate in the existing technology is solved, and efficient and stable stem cell culture is achieved.

CN119694383AActive Publication Date: 2025-03-25CHENGDU JIUANDA BUSINESS INFORMATION CONSULTING CO LTD
7 Cites 10 Cited by

Patent Information

Application Number
CN202411737447.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-29
Publication Date
2025-03-25
Estimated Expiration
2044-11-29

AI Technical Summary

Technical Problem

The existing stem cell culture information management methods lack real-time early warning and dynamic regulation methods, resulting in unstable stem cell culture success rate, affecting the research process and clinical application.

Method used

By collecting cell count data, culture condition parameter data and contamination status data during stem cell culture, performing growth kinetic analysis, establishing a cell growth prediction model, monitoring and dynamically regulating culture conditions in real time, and generating the optimal culture parameter combination and standardized culture plan.

Benefits of technology

Real-time monitoring and dynamic regulation of the stem cell culture process are achieved, which significantly improves the stability and success rate of culture, reduces the risk of resource waste and cell quality decline, and improves the culture efficiency and quality.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention relates to the technical field of biological information, in particular to a stem cell culture information management method and system. The method comprises the following steps: collecting culture process basic data in a stem cell culture process, wherein the culture process basic data comprises cell counting data, culture condition parameter data and pollution condition data; performing growth kinetic analysis on the basic data in the culture process to obtain cell growth characteristic data; establishing a cell growth prediction model based on the cell growth characteristic data, and generating cell growth early warning data; and monitoring the culture process in real time according to the cell growth early warning data, triggering an early warning signal when abnormal fluctuation is detected, and generating a culture abnormality processing scheme. The growth prediction model is established based on the cell growth characteristic data, the culture dynamic state can be monitored in real time, an early warning signal is provided, the detection and response speed of abnormal fluctuation is remarkably improved, and culture failure is avoided.
Need to check novelty before this filing date? Find Prior Art