Fluorescence Assay User Interface with Segmented Data Display
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Solution Overview
Problem
Fluorescence assay devices generate vast amounts of data, making it challenging for users to determine which datapoints to display on limited display areas, especially as different experiments require different thresholds and configurations, necessitating a flexible and configurable user interface to identify issues promptly.
Innovation Solution
A user interface system that includes a fluorescence assay device, controller, and display, allowing users to select and display alphanumeric and pictographic representations of datapoints, enabling flexible configuration of what information is shown, with regions for real-time monitoring and historical data analysis, and allowing users to adjust assay performance based on displayed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive data from fluorescence assay is collected and displayed, then information completeness is improved, but display area requirements increase beyond available screen space
Solution Approach 1:
The user interface is divided into multiple functional regions including a first region for alphanumeric datapoint representations, a second region for pictographic representations, and a third region for controls. This segmentation allows comprehensive data display within limited screen space by organizing information into distinct, manageable sections.
Solution Approach 2:
The patent transitions from traditional single-format data display to a multi-dimensional presentation combining alphanumeric text, pictographic icons, and spatial organization. This dimensional enrichment allows more information to be conveyed effectively within the same physical display area.
2Device complexity
If fixed display format is used, then device simplicity is maintained, but adaptability to different experiment requirements decreases
Solution Approach 1:
The user interface implements dynamic configurability where users can select which datapoints to display, adjust threshold values, and customize the presentation format based on specific experiment requirements. This dynamic adaptation maintains ease of use while providing versatile configuration options for different assay types.
Solution Approach 2:
The display system is designed to handle multiple types of data representations (alphanumeric and pictographic) and supports various experiment configurations through a unified interface. This multi-functional design allows the same interface to adapt to different assay requirements without requiring separate specialized displays.
3Reliability
If real-time monitoring of all assay parameters is implemented, then issue detection capability is improved, but processing requirements and system complexity increase
Solution Approach 1:
The interface uses pictographic representations with color-coded visual indicators to represent different assay states and threshold exceedances. This visual encoding enables rapid issue detection without requiring complex numerical analysis, improving reliability while maintaining system simplicity.
Solution Approach 2:
The system provides real-time visual feedback through the display interface showing current assay progress, datapoint values, and threshold comparisons. This immediate feedback mechanism enables users to monitor assay performance and detect issues promptly without increasing overall system complexity.
Data Source
AI summary
A fluorescence assay device performs a fluorescence assay of one or more samples including fluorescent materials, causing a plurality of sets of datapoint to be stored relating to received fluorescence emitted by the fluorescent materials. A user interface displays representations of some of the sets of datapoints. A first region of the user interface includes alphanumeric representations of a subset of the plurality of sets of datapoints, including one or more user-specified sets of datapoints. A second region of the user interface includes one or more pictographic representations of the one or more user-selected sets of datapoints. The one or more pictographic representations indicate categorizations of values of the particular set of datapoints for the one or more samples.