Graphical Image Processing Control for Low-Latency Microscopy
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Solution Overview
Problem
Existing image processing methods for microscope slides suffer from significant latency due to being run on cloud networks, leading to inefficiencies in real-time processing.
Innovation Solution
An apparatus and method for controlling image processing algorithms in a graphical interface, utilizing an image capturing device, display device, and computing device to generate a display data structure with linked algorithm modules and event handlers, enabling real-time image processing without latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If image processing methods are run on cloud networks, then processing power and capabilities are improved, but latency increases significantly
Solution Approach 1:
The patent introduces an edge computing platform as an intermediary between the microscope/image capturing device and the cloud network. This edge platform performs image processing algorithms locally, providing the processing power of cloud-based systems while eliminating the latency associated with transmitting images to and from remote cloud servers. The edge platform acts as a mediator that enables real-time processing without sacrificing computational capabilities.
2Speed
If image processing is performed in real-time without latency, then processing speed is improved, but system complexity increases due to integration requirements
Solution Approach 1:
The edge computing platform is designed with multi-functionality to handle various image processing algorithms and workflows within a single integrated system. It can execute multiple different processing tasks (e.g., image enhancement, analysis, classification) without requiring separate dedicated systems for each function. This universal approach enables real-time processing while managing system complexity by consolidating multiple functions into one platform.
3Adaptability or versatility
If cloud-based image processing is used, then algorithm capabilities are improved, but real-time control and visualization are degraded
Solution Approach 1:
The system performs preliminary image processing actions at the edge computing platform before results need to be visualized or further analyzed. By pre-processing images locally in real-time, the system prepares data for subsequent cloud-based analysis or user review, ensuring that when images are transmitted to the cloud or displayed to users, they are already optimized and ready for immediate viewing and control without delays.
Data Source
AI summary
An exemplary apparatus according to this disclosure includes at least a display, a processor, and a memory communicatively connected to the processor. The processor generates a display data structure comprising a plurality of visual elements, configures a display device to display the visual elements, receives an activation of an event handler of the plurality of event handlers, wherein receiving the activation further comprises receiving a user selection of a visual element of the plurality of visual elements that is linked to the event handler, and executes the algorithm module associated with the activated event handler comprising an image processing module configured to receive an initial image and output a modified image.