Systems and methods for remotely monitoring the cryogenic processing of samples
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Solution Overview
Problem
Current cryogenic processing systems lack effective remote monitoring capabilities, leading to potential errors in freezing, storage, and transportation of samples, which are critical for maintaining sample integrity in applications like regenerative medicine and biobanking.
Innovation Solution
A remote monitoring system that includes cryogenic freezers and thawing machines connected to a remote server, allowing for the transmission and receipt of predetermined and actual temperature data, enabling real-time monitoring and consistency across multiple devices, reducing human error and ensuring precise control throughout the cryogenic processing stages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual temperature input and monitoring is used in cryogenic processing systems, then device complexity is reduced, but measurement precision and reliability of temperature data deteriorate due to human error
Solution Approach 1:
The system enables self-service by having the cryogenic processing devices automatically perform data collection, validation, and transmission functions. The devices autonomously monitor their own temperature parameters and communicate with the central server without requiring manual intervention, thereby eliminating human error while maintaining system simplicity.
Solution Approach 2:
The patent replaces manual mechanical data entry with automated electronic data collection and transmission systems. Temperature sensors and communication modules substitute for human operators, automatically capturing and transmitting temperature data to the central server, thus improving measurement precision without significantly increasing physical device complexity.
2Reliability
If real-time remote monitoring is implemented across multiple cryogenic devices, then reliability and sample integrity are improved, but device complexity and infrastructure requirements worsen
Solution Approach 1:
The central server performs multiple functions including data collection, validation, storage, and analysis across all connected cryogenic devices. This multi-functional approach consolidates complexity into a single platform that can manage numerous devices simultaneously, improving sample integrity monitoring while avoiding proportional increases in overall system complexity.
Solution Approach 2:
The system implements automated feedback loops where the central server receives temperature data from devices, validates it against predetermined criteria, and can trigger alerts or corrections. This automated feedback mechanism improves reliability by ensuring continuous monitoring and immediate response to anomalies without requiring complex manual intervention systems.
3Productivity
If automated data validation and alerts are implemented, then productivity and error reduction are improved, but device complexity and processing requirements worsen
Solution Approach 1:
The system performs preliminary validation of temperature data against predetermined criteria before full processing and storage. By pre-defining acceptable temperature ranges and validation rules in advance, the system can quickly assess data validity without requiring complex real-time analysis, thus improving processing efficiency while keeping data processing complexity manageable.
Data Source
AI summary
A remote system for monitoring and controlling one or more devices for use in the cryogenic processing of a sample is provided. A remote server capable of transmitting freezing profile data to one or more freezers, transmitting transportation profile data to one or more transportation devices, and transmitting thawing profile data to one or more thawing devices. The remote server is also capable of receiving detected data from the one or more freezers relating to the freezing of a sample in accordance with the freezing profile data, receiving detected data from the one or more transportation devices relating to the transportation of a sample in accordance with the transportation profile data, and receiving detected data from the one or more thawing machines relating to the thawing of a sample in accordance with the thawing profile data.