Microscope Image Generation with Dynamic Parameter Adjustment
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Solution Overview
Problem
Movement artifacts occur in microscope images when the sample is displaced or moved in the object space, leading to issues like streaks and offset lines, particularly in wide-field and confocal microscopy, which affect image quality and require waiting for full exposure times to correct.
Innovation Solution
A method that detects sample movement and automatically adjusts image generation parameters such as exposure time, scanner frequency, or illumination intensity based on movement variables like velocity and acceleration to minimize or eliminate artifacts, allowing for real-time image refresh and maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the sample is moved in the object space during image generation, then the sample position can be adjusted to different locations, but movement artifacts such as streaks and offset lines occur in the generated image
Solution Approach 1:
The system detects sample movement and predicts the movement trajectory before it affects the image. The control unit anticipates the movement and adjusts image generation parameters in advance, allowing the system to prepare for the upcoming movement rather than reacting after artifacts have occurred. This preliminary action enables the system to maintain image quality despite sample repositioning.
Solution Approach 2:
The image generation parameters are made dynamic and adaptable to the sample's movement state. The control unit continuously monitors sample position and adjusts parameters such as exposure time, scanner frequency, and illumination intensity in real-time based on the detected movement variables. This dynamic adjustment allows the system to optimize imaging conditions for each moment of the sample's position change.
2Measurement precision
If the exposure time is extended to wait for full exposure time to correct movement artifacts, then image sharpness can be correctly estimated, but the imaging speed is reduced and time is lost
Solution Approach 1:
The system implements a feedback mechanism where the detected sample movement is continuously fed back to the control unit, which adjusts image generation parameters in real-time. This feedback loop allows the system to correct for movement artifacts dynamically during the exposure period rather than requiring post-exposure correction, thereby maintaining both image quality and imaging speed.
Solution Approach 2:
The system changes image generation parameters dynamically based on the detected movement variables. When sample movement is detected, the control unit adjusts parameters such as exposure time, scanner frequency, and illumination intensity to optimize the imaging process. This parameter adaptation allows the system to achieve correct image sharpness estimation without requiring extended waiting periods.
3Productivity
If the scanner frequency is increased to reduce the time to update all image lines, then the image can be refreshed faster, but the system complexity increases to coordinate scanning with sample movement
Solution Approach 1:
The control unit serves multiple functions: it detects sample movement, processes movement data, predicts movement trajectories, and coordinates image generation parameters. By consolidating these functions into a single multi-functional control system, the patent reduces overall system complexity while achieving fast image refresh rates through coordinated scanner frequency adjustments.
Data Source
AI summary
A method for image generation by means of a microscope includes: locating a sample to be imaged in an object space of the microscope for the image generation using specified image generation parameters; firstly detecting a movement or an intended movement of the sample; and thereupon automatically changing at least one image generation parameter during the movement of the sample depending on a movement variable.