Parallel Coordinate Plot for Multi-Parameter Flow Cytometry Data
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Solution Overview
Problem
Current methods for displaying multi-parametric data in flow cytometry are complex and inefficient, particularly as the number of parameters increases, making it difficult to visualize and analyze large datasets effectively.
Innovation Solution
A graphics control system and method for dynamically displaying multi-parametric data using parallel coordinate plot diagrams and interactive 2D scatter plots, allowing for real-time visualization and manipulation of data on a graphical user interface, enabling the representation of multiple parameters in an integrated and contextual manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional 2D plot diagrams are used to display flow cytometry data, then ease of visualization is improved, but the ability to represent multiple parameters simultaneously deteriorates
Solution Approach 1:
The patent transitions from traditional 2D plot diagrams to parallel coordinate plot diagrams that effectively utilize additional visual dimensions. Each parameter is represented as a separate axis, and data points are connected across axes, allowing simultaneous visualization of multiple parameters while maintaining visual clarity through the parallel structure.
Solution Approach 2:
The patent segments the visualization by separating each parameter into its own axis in the parallel coordinate plot. This segmentation allows each parameter to be independently represented and analyzed, while the connecting lines maintain the relationships between parameters across different axes.
2Loss of information
If the number of parameters displayed increases, then the comprehensiveness of data representation is improved, but the complexity of the display system increases
Solution Approach 1:
The parallel coordinate plot diagram serves as a universal visualization framework that can accommodate any number of parameters. The same basic structure with parallel axes and connecting lines can represent two parameters or twenty parameters, providing a multi-functional solution that scales without fundamentally changing the display approach.
Solution Approach 2:
By adding parameters along the horizontal dimension (additional parallel axes) rather than creating separate 2D plots for each parameter combination, the system efficiently represents comprehensive data without proportionally increasing display complexity. The connecting lines utilize the vertical dimension to show relationships across all parameters simultaneously.
3Productivity
If interactive controls are added to enable real-time manipulation, then ease of analysis is improved, but device complexity increases
Solution Approach 1:
The parallel coordinate plot diagram enables self-service analysis where users can directly interact with the visualization to perform gating and data filtering operations. The interactive controls allow users to manipulate the data representation themselves without requiring complex external analysis tools, making the display system both the visualization and analysis platform.
Solution Approach 2:
The patent merges the visualization function and the analysis function into a single integrated system. The parallel coordinate plot diagram is not only a display mechanism but also incorporates interactive gating capabilities, allowing users to analyze data directly within the visualization interface without switching between separate tools.
Data Source
AI summary
Data visualization features are described that provide synchronized displaying of interactive visualizations for high parameter data. The visualization features include graphically representing multiple parameters simultaneously with the associated statistical data for each parameter in an interactive way that maintains the contextual relationships between parameters and the related cell population. The visualization features may be used for displaying high parameter multi-color flow cytometry or genomic data sets.