Biological Sample Motion Compensation for Form Change Analysis
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Solution Overview
Problem
Existing technologies face challenges in accurately isolating changes in biological samples' forms from various motions, such as autonomous locomotion and device vibrations, which distort image observations, making precise analysis difficult.
Innovation Solution
An information processing system comprising an imaging device and a processing unit that sets a region of interest, estimates motion components like translation, rotation, and scaling, and performs motion compensation to isolate the biological sample's form changes from other motions, allowing for precise analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion compensation is performed using conventional image stabilization technology, then disturbances caused by imaging device movements are corrected, but changes in form of biological samples cannot be isolated from autonomous locomotion of the samples
Solution Approach 1:
The patent segments motion into multiple independent components: imaging device movement, autonomous locomotion, and form changes. By decomposing the overall motion into these distinct segments, the system can selectively compensate for device movement while preserving and analyzing the other motion components separately
Solution Approach 2:
The patent introduces motion component estimation as an intermediary step between raw image sequences and final form change analysis. This intermediary process estimates and separates different motion types, allowing the system to filter out unwanted motions while maintaining the integrity of biological sample form changes
2Measurement precision
If conventional image stabilization is applied, then imaging device vibrations are corrected, but autonomous locomotion of biological samples is also removed along with the vibrations
Solution Approach 1:
The patent segments motion into multiple independent components: imaging device movement, autonomous locomotion, and form changes. By decomposing the overall motion into these distinct segments, the system can selectively compensate for device movement while preserving and analyzing the other motion components separately
Solution Approach 2:
The patent applies different processing treatments to different motion components: imaging device movement is compensated (corrected), autonomous locomotion is preserved and tracked, while form changes are extracted for analysis. This localized quality approach ensures each motion type is handled appropriately without affecting others
3Reliability
If motion compensation parameters are calculated based on region to be noted motion, then form changes can be isolated, but the system becomes complex requiring multiple processing steps
Solution Approach 1:
The patent segments motion into multiple independent components: imaging device movement, autonomous locomotion, and form changes. By decomposing the overall motion into these distinct segments, the system can selectively compensate for device movement while preserving and analyzing the other motion components separately
Solution Approach 2:
The patent uses feedback by calculating motion compensation parameters based on the estimated motion of the region to be noted, then applying these parameters to compensate the image sequence, and finally analyzing the compensated results to improve form change detection accuracy
Data Source
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AI summary
According to some aspects, an information processing device is provided. The information processing device includes circuitry configured to set at least one region of an image of a biological sample and select a motion compensation parameter calculated based at least on a motion of the at least one region. The circuitry is further configured to control display of a result of performing a process on the at least one region using the selected motion compensation parameter.