Digital Image Control Configuration for Pathology Workstations
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Solution Overview
Problem
Digital pathology systems lack intuitive control mechanisms for viewing and manipulating digital specimen images, which are essential for accurate diagnosis, and do not optimally support different user workstations with varying hardware and software configurations.
Innovation Solution
A system and method that identifies and configures input control devices to emulate conventional microscope operations, such as panning, zooming, and rotating, within a digital pathology environment, allowing pathologists to interact with digital images using multiple input devices like trackballs and mice, and adapts control operations based on the characteristics of the computing device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple input control devices are supported with different configurations, then adaptability is improved, but device complexity increases
Solution Approach 1:
The system automatically detects available input control devices and configures their mappings without requiring manual user setup. The digital image application autonomously identifies devices, determines their capabilities, and establishes appropriate control mappings based on the detected hardware configuration.
Solution Approach 2:
The system dynamically adjusts control mappings based on the specific configuration of input devices detected. Different device types (mouse, trackball, touchscreen) receive different mapping configurations, allowing the system to adapt its control parameters to match the capabilities of the available hardware.
2Ease of operation
If control operations are customized for different device types, then ease of operation is improved, but software complexity increases
Solution Approach 1:
The system pre-defines multiple control mapping configurations corresponding to different input device types. When a device is detected, the appropriate pre-configured mapping is automatically applied, eliminating the need for real-time customization and reducing software complexity while maintaining ease of operation.
Solution Approach 2:
The control mapping system is designed to universally support multiple types of input devices through a single unified framework. The same software infrastructure handles different device types by selecting appropriate pre-configured mappings, making the system both easy to operate and relatively simple to implement.
3Ease of operation
If automatic device detection and configuration is implemented, then ease of operation is improved, but processing time increases
Solution Approach 1:
All possible control mappings for different device types are pre-configured and stored in the system. During device detection, the system only needs to identify which pre-configured mapping matches the detected device, significantly reducing the time required compared to creating mappings from scratch.
Solution Approach 2:
The system uses template-based configuration where pre-defined control mappings serve as templates. Once a device type is detected, the corresponding template is copied and applied immediately, avoiding time-consuming manual configuration while maintaining automatic adaptation to different devices.
Data Source
AI summary
Systems, methods, and products are described that provide control configuration for a digital image system. One aspect provides for a system configured to identify one or more input control devices in communication with a digital image application operating on said system, the one or more input devices comprising one or more control elements; activating an input control device mode based on a number of identified input control devices; and mapping the one or more control elements of each input control device to one or more digital image application functions based on a type of the input control device and the input control mode. Other aspects and embodiments are also described herein.