Microscope System with ROI Rotation Feedback
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Solution Overview
Problem
Conventional microscope systems face challenges in maintaining the steady orientation and position of a region-of-interest (ROI) in images of moving samples, particularly when the samples rotate or move in three-dimensional space, leading to unstable observation and stimulation processes.
Innovation Solution
A microscope system that includes a scanning optical system, an observation optical system, a region-of-interest setting portion, an amount-of-rotation calculating portion, and a control portion to adjust the scanning and focal positions in real-time, ensuring the laser light direction and focal position remain steady relative to the sample's movements and rotations, using galvanometer scanners and an electrically driven stage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the ROI is reset every time the sample moves in three-dimensional space, then the sample can be tracked, but the orientation of the ROI rotates along with the sample, making the observed image unstable
Solution Approach 1:
The system calculates the rotation amount of the ROI about the observation optical axis and feeds this information back to the scanning optical system. The control portion adjusts the scanning direction based on this feedback to counteract the sample's rotation, maintaining a stable ROI orientation in the observed image while continuing to track the moving sample.
Solution Approach 2:
The system changes the scanning parameters (scanning direction and angle) dynamically based on the calculated ROI rotation amount. By adjusting these parameters in real-time, the system compensates for sample rotation and maintains stable ROI orientation without sacrificing tracking accuracy.
2Stability of the object's composition
If the scanning direction is adjusted to maintain steady ROI orientation, then image stability improves, but the system complexity increases
Solution Approach 1:
The system uses the observation optical system itself to detect the ROI rotation and calculate the required correction. The same optical path that captures the image also provides the data needed for correction, eliminating the need for separate sensing systems and reducing overall system complexity.
Solution Approach 2:
The system replaces complex mechanical stabilization mechanisms with computational methods. By calculating the ROI rotation from image data and using software-based control of the scanning parameters, the system achieves stable ROI orientation without requiring additional mechanical components.
Data Source
AI summary
Provided is a microscope system including: a galvanometer scanner that scans laser light on a sample; an observation optical system that acquires an image of the sample on which the laser light is scanned by the galvanometer scanner; an ROI setting portion that sets a region-of-note, which is an area of note in the sample, so as to serve as an observation ROI in the image acquired by the observation optical system; an amount-of-rotation calculating portion that calculates an amount by which the observation ROI is rotated about the Z-axis in the image in association with rotation of the region-of-note about the Z-axis; and a control portion that controls the galvanometer scanner so that the direction in which the laser light is scanned in the region-of-note is made steady on the basis of the amount by which the observation ROI is rotated about the Z-axis.