AR Microscope Superimposition Device Focus Feedback
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Solution Overview
Problem
In augmented reality microscopes, the depth of focus for camera imaging is smaller than for visual observation, leading to blurred captured images, and existing solutions require frequent monitor checks to ensure focus, which is inefficient and undesirable.
Innovation Solution
A microscope system with an observation optical system, a superimposition device, and a processor that forms an optical image of a specimen and superimposes focus information and analysis information on the image plane, allowing users to maintain focus without alternating between the ocular lens and monitor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera imaging is used in AR microscope, then image capture capability is improved, but focus precision deteriorates due to smaller depth of focus
Solution Approach 1:
The system performs focus analysis on captured images and provides real-time feedback to the user through the optical path. The processor analyzes captured images to determine focus states and displays focus information back to the user via the ocular lens, enabling continuous monitoring and adjustment without breaking the observation flow.
Solution Approach 2:
The system introduces an intermediary focus analysis mechanism that bridges the gap between camera imaging and visual observation. By analyzing captured images and converting focus quality into visual feedback through the optical path, the system mediates between the camera's limited depth of focus and the user's need for sharp images.
2Measurement precision
If user checks focus on monitor, then focus accuracy is improved, but observation efficiency deteriorates due to frequent switching
Solution Approach 1:
The system merges the focus checking function into the observation path itself. By superimposing focus information directly onto the optical image that the user is already viewing through the ocular lens, the system combines focus monitoring and specimen observation into a single unified viewing experience, eliminating the need to switch between monitor and ocular lens.
Solution Approach 2:
The optical path acts as an intermediary that delivers focus information directly to the user's eye during normal observation. Instead of requiring the user to look at a separate monitor, the system uses the existing optical path as a mediator to convey focus status alongside the specimen image.
3Reliability
If depth of focus for camera imaging is increased, then image capture reliability is improved, but visual observation quality deteriorates
Solution Approach 1:
The system segments the evaluation criteria into two independent channels: one for camera imaging quality and one for visual observation quality. By analyzing captured images separately and providing feedback based on that analysis, the system allows the camera to operate with its inherent depth of focus characteristics while maintaining high visual observation quality through the optical path.
Solution Approach 2:
The system uses feedback from image analysis to compensate for the camera's limited depth of focus. By continuously analyzing captured images and providing real-time focus information, the system enables the camera to capture reliable images even with smaller depth of focus, while the user maintains high-quality visual observation through the optical path.
Data Source
AI summary
A microscope system includes an observation optical system that forms an optical image of a specimen on an object side of an ocular lens; a projection device that superimposes information on an image plane on which the optical image is formed, an imaging device that is provided on an imaging optical path branched from an observation optical path, and a processor. The processor controls the projection device to superimpose, on the image plane, focus information based on a captured image of the specimen acquired by the imaging device and analysis information regarding a result of image analysis on the captured image, the image analysis being different from focus analysis.