Experimental Information Management System for Animal Research

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Solution Overview

Problem

In animal experiments, the large amount of information required for registration leads to misregistration and prolonged registration times, resulting in low experimental efficiency.

Innovation Solution

An experimental information management system comprising an experimental data center module, an information management module, and a registration module that selects and modifies historical data to generate target experimental data, reducing the need for repeated registration and improving efficiency by allowing pre-registration and efficient data modification.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual registration of experimental information is conducted for each individual animal, then complete experimental data can be obtained, but registration time is prolonged and experimental efficiency is reduced

Engineering Contradiction:

Improvecompleteness of experimental dataVSAvoidexperimental efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary action by automatically selecting and preparing historical experimental data before the actual experiment begins. The registration module pre-loads relevant historical data blocks (animal information, scanning protocols, positioning data) so that when the experiment is executed, the data is already prepared and only minor modifications are needed, eliminating the need for manual registration during the experiment.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses copying by retrieving and reusing historical experimental data from the data center. Instead of manually entering new data, the registration module copies relevant data blocks from historical records (such as animal basic information, scanning parameters, positioning data) and applies them to the current experiment, significantly reducing registration time while maintaining data completeness.

Inventive Principle:

Principle #26Copying

2Reliability

If manual registration of experimental information is conducted for each individual animal, then complete experimental data can be obtained, but misregistration errors occur

Engineering Contradiction:

Improveaccuracy of experimental dataVSAvoidregistration time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system implements self-service by enabling automatic data selection and retrieval functions. The registration module automatically identifies relevant historical data based on experiment parameters, selects appropriate data blocks without human intervention, and performs the registration process autonomously. This eliminates manual data entry errors while maintaining accuracy, as the system self-corrects and validates data selection.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system uses feedback mechanisms to verify data selection accuracy. The registration module compares current experiment parameters with historical data characteristics, automatically validates data compatibility, and provides feedback on data selection appropriateness. This feedback loop ensures accurate data matching while reducing manual verification time.

Inventive Principle:

Principle #23Feedback

3Productivity

If historical experimental data is selected and modified automatically, then registration time is shortened, but system complexity increases

Engineering Contradiction:

Improveregistration efficiencyVSAvoidsystem structure complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system applies segmentation by dividing experimental data into distinct, manageable blocks (animal information blocks, scanning protocol blocks, positioning data blocks). Each block can be independently selected, retrieved, and modified. This modular approach simplifies the automatic registration process by breaking down complex data handling into discrete, automated steps, reducing overall system complexity while maintaining high registration efficiency.

Inventive Principle:

Principle #1Segmentation

4Loss of time

If data blocks are replaced from historical data, then registration time is reduced, but data accuracy may be compromised

Engineering Contradiction:

Improvedata registration timeVSAvoiddata accuracy

Core Design Contradiction:

Loss of timeVSMeasurement precision

Solution Approach 1:

The system uses parameter changes by allowing flexible modification of historical data blocks to match current experiment requirements. The registration module enables changing specific parameters within data blocks (such as animal IDs, experiment dates, protocol variations) while preserving the overall structure and valid information from historical data. This approach maintains data accuracy by adapting historical data to current needs rather than using rigid templates.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20250013616A1Experimental information management systems, methods, and imaging systems

Publication Date: 2025.01.09 WUHAN UNITED IMAGING LIFE SCIENCE INSTRUMENT CO LTD

AI summary

Embodiments of the present disclosure provide an experimental information management system, a method, and an imaging system. The experimental information management system comprises an experimental data center module configured to store at least one piece of historical experimental data, an experimental information management module configured to select and determine to-be-processed experimental data in response to a selection operation, and an experimental information registration module configured to modify the to-be-processed experimental data in response to a modification operation and generate target experimental data.