Experimental Error Quantification in Multi-Step Sample Handling
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Solution Overview
Problem
Multi-step sample handling protocols in laboratories are susceptible to significant experimental errors, which accumulate and affect the accuracy and reproducibility of results, particularly when multiple devices and users are involved.
Innovation Solution
A method to quantify and present experimental errors during sample handling sequences using an empirically trained algorithm, calculating a total error from individual errors and providing recommendations to adjust or interrupt the process to reduce error accumulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple liquid handling devices and dispensing steps are used to complete the desired application, then the functionality and versatility of the workflow is improved, but the accumulation of experimental error increases
Solution Approach 1:
The system implements feedback by calculating and presenting the accumulated experimental error to the user during the workflow. The computing device quantifies the total experimental error based on individual errors from multiple devices and steps, then presents this information through an output device, enabling the user to adjust parameters or reduce unnecessary steps to maintain accuracy
Solution Approach 2:
The system applies parameter changes by allowing the user to modify workflow parameters based on the presented error information. The user can adjust dispensing volumes, reduce unnecessary liquid handling steps, or change device parameters to keep the total experimental error within acceptable limits while maintaining workflow functionality
2Productivity
If more dispensing steps are performed to achieve the desired liquid handling, then the productivity of the workflow is improved, but the total experimental error accumulation increases
Solution Approach 1:
The system applies partial action by allowing the user to perform only the necessary dispensing steps rather than excessive steps. By presenting the accumulated error information, the user can identify and eliminate unnecessary intermediate steps while still achieving the desired workflow outcome, thereby maintaining productivity without compromising precision
3Measurement precision
If experimental error quantification and presentation is implemented, then the measurement precision of error assessment is improved, but the device complexity increases
Solution Approach 1:
The system applies universality by using a computing device that performs multiple functions: it receives individual experimental error data from various sources, calculates the accumulated total error, and presents the results. This multi-functional approach enables accurate error quantification without requiring separate dedicated devices for each function, thereby managing complexity
Data Source
Figure 1
AI summary
According to an example aspect of the present invention, there is provided a method comprising: quantifying a total experimental error of a multi-step sample handling and/or analysis sequence comprising at least two steps, including quantifying respective individual experimental errors of said at least two steps; and presenting said total experimental error and/or an output value derived from said total experimental error by an output device.