Red Blood Cell Analysis GUI with Dual Views
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Solution Overview
Problem
Existing graphical user interfaces for analyzing red blood cells either lose the spatial context of cells when extracting them for individual analysis or fail to effectively display properties simultaneously, making it difficult to analyze cells in their spatial distribution and properties.
Innovation Solution
A graphical user interface that generates two views: a first view showing red blood cells in their spatial context with highlighted groups based on user input, and a second view displaying extracted cells organized by groups for detailed analysis, allowing users to analyze cells by properties and spatial distribution simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If red blood cells are extracted from the image for individual analysis, then individual cell properties can be analyzed, but spatial context is lost
Solution Approach 1:
The graphical user interface is segmented into two distinct views: a first view showing the complete image with highlighted cells and a second view showing extracted individual cells. This segmentation allows simultaneous preservation of spatial context in the first view and detailed individual analysis in the second view, resolving the contradiction between maintaining spatial information and enabling precise individual property analysis.
2Loss of information
If red blood cells are shown in spatial context, then spatial distribution can be analyzed, but individual cell properties are difficult to analyze
Solution Approach 1:
The graphical user interface acts as an intermediary between the complete image and individual cell analysis. The first view displays the complete image with highlighted cells to preserve spatial context, while the second view provides extracted individual cells for detailed property analysis. This intermediary structure allows users to switch between spatial overview and detailed examination without losing either perspective.
3Productivity
If multiple properties are displayed simultaneously, then comprehensive analysis is possible, but complexity of the interface increases
Solution Approach 1:
The interface segments different analysis functions into separate views: the first view handles spatial distribution and classification overview, while the second view handles detailed individual cell property analysis. This segmentation allows multiple properties to be analyzed comprehensively without overwhelming the user in a single view, thus managing interface complexity while maintaining comprehensive analysis capability.
Data Source
AI summary
Methods and systems for generating a graphical user interface for analysis of red blood cells. The method generates a first view of the graphical user interface by highlighting red blood cells in an image that are classified into at least one group indicated by a user input. The method also generates a second view by extracting individual red blood cells being classified into the at least one group indicated by the user input from the image of red blood cells and displaying them group-wise.