Real-Time Slide Imaging With Artifact Removal and Auto Focus
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Solution Overview
Problem
Existing real-time image generation methods for intraoperative diagnostic assessment of tissue require scanning and digitization steps, which are time-consuming and may need rescan if performed at suboptimal focal lengths, necessitating human expert examination.
Innovation Solution
An apparatus and method that includes an optical system, actuator mechanism, and processor for capturing and processing images in real-time, utilizing an artifact removal machine learning model to enhance image quality without the need for manual digitization and rescan.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If scanning and digitization steps are performed, then image quality is improved, but time consumption increases
Solution Approach 1:
The system performs preliminary focusing adjustments and image capture at optimal focal lengths before final image generation, preventing the need for rescanning and reducing overall time consumption while maintaining image quality
Solution Approach 2:
The patent replaces manual scanning and digitization processes with an automated optical system that captures images directly at optimal focus using motorized stage movement and real-time image processing, eliminating time-consuming manual operations
2Measurement precision
If rescan is performed for suboptimal focal length, then image quality is improved, but productivity decreases
Solution Approach 1:
The system uses real-time feedback from image quality assessment to automatically adjust focal length and stage position, ensuring optimal image capture on first attempt and eliminating the need for rescanning, thereby maintaining high productivity
Solution Approach 2:
The patent implements dynamic focal length adjustment and stage positioning during the imaging process, allowing the system to adapt to different tissue depths and characteristics in real-time, ensuring optimal image quality without requiring rescanning
3Measurement precision
If manual digitization and expert examination are required, then diagnostic accuracy is improved, but device complexity increases
Solution Approach 1:
The system performs self-diagnosis through automated image analysis algorithms that identify and flag suspicious regions, providing preliminary diagnostic support without requiring constant expert intervention, thereby reducing operational complexity while maintaining diagnostic accuracy
Solution Approach 2:
The patent introduces an intermediate image processing layer that automatically enhances image quality, removes artifacts, and highlights regions of interest before presentation to experts, reducing the complexity of the overall diagnostic workflow while preserving diagnostic accuracy
Data Source
AI summary
Aspects of present disclosure relate to real-time image generation. An exemplary apparatus for real time image generation includes at least an optical system, a slide port configured to hold a slide, an actuator mechanism mechanically connected to a mobile element, a user interface comprising an input interface and an output interface, at least a processor configured to: using the at least an optical system, capture a first image of the slide at a first position, modify the first image, using the output interface, display the first image to a user, using the input interface, receive a parameter set from the user.