Scientific Instrument Support System Parameter Reuse
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Solution Overview
Problem
Existing scientific instrument support systems face challenges in efficiently managing experiment parameters, leading to increased time and resource wastage due to user fatigue and potential errors in parameter repetition across multiple experiments.
Innovation Solution
The implementation of a scientific instrument support system that allows for the reuse of experiment parameters, including inclusion and exclusion lists, across multiple experiments, with user interfaces that facilitate the selection and modification of these lists for improved efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If experiment parameters are manually repeated for each experiment, then experiment setup can be completed, but time consumption and human error increase
Solution Approach 1:
The system performs preliminary action by automatically retrieving and pre-configuring experiment parameters from a database before the experiment actually starts. The workflow engine pre-fills parameter fields based on experiment templates and historical data, so that when users initiate an experiment, most parameters are already set correctly, eliminating the need for manual repetition and reducing both time consumption and errors.
2Ease of operation
If experiment parameters are manually entered for each experiment, then specific parameter adjustments can be made, but user fatigue and errors increase
Solution Approach 1:
The system uses copying by creating reusable experiment templates and parameter sets that can be replicated across multiple experiments. Instead of manually entering parameters each time, users can copy proven parameter configurations from previous successful experiments or from standardized templates, ensuring consistency and reducing both user fatigue and errors while maintaining the ability to make specific adjustments when needed.
3Productivity
If comprehensive experiment parameters are managed manually, then experiment control is maintained, but time and resource wastage increase
Solution Approach 1:
The system implements self-service by enabling automatic parameter retrieval, validation, and configuration through the workflow engine. The system serves itself by automatically managing parameter lifecycles - retrieving from database, validating against schemas, applying defaults, and storing results - without requiring manual intervention for each parameter, thereby maintaining comprehensive control while dramatically improving productivity and reducing time wastage.
Data Source
AI summary
Disclosed herein are scientific instrument support systems, as well as related methods, computing devices, and computer-readable media. For example, in some embodiments, a method is provided that includes receiving a first plurality of experiment parameters for a first experiment to be performed by a scientific instrument on a first sample, the first plurality of experiment parameters including a list, and storing the list. The method further includes receiving a second plurality of experiment parameters for a second experiment to be performed by the scientific instrument, the second plurality of experiment parameters including a selection, within a graphical user interface, of the list from the first experiment to reuse for the second experiment. The method further includes receiving experiment data relating to the second experiment and analyzing the experiment data based on the list from the first experiment to determine a result of the second experiment.