Speckle-Based Image Correction for Laser Scanning Microscopy
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Solution Overview
Problem
Image distortion caused by non-uniform laser scanning in devices like catheter and capsule endoscopy due to friction variations during rotation, leading to geometric distortions in the generated image data.
Innovation Solution
Utilizing naturally occurring speckle artifacts from laser illumination to measure and correct image distortion by analyzing speckle shape and size, adjusting image segments based on aspect ratios, and aligning distortion-compensated lines to minimize cross-correlation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-uniform laser scanning is performed due to friction variations during rotation, then the imaging device can rotate and scan samples, but geometric distortions are introduced into the image data
Solution Approach 1:
The patent converts the harmful friction-induced non-uniform scanning into a beneficial measurement tool by using laser speckle artifacts. The speckle shape and size variations caused by friction are analyzed to quantify the distortion, which is then used to correct the image data, transforming the original harm into a useful correction mechanism
Solution Approach 2:
The patent implements a feedback loop where speckle artifacts from the scanned image are analyzed to determine scanning speed variations and distortion patterns. This information is fed back to calculate correction factors that are applied to the final image, creating a closed-loop system that automatically compensates for friction-induced distortions
2Device complexity
If software-based distortion measurement is implemented using speckle analysis, then product complexity is reduced and cost is decreased, but measurement precision must be maintained
Solution Approach 1:
The patent enables the imaging system to self-diagnose and self-correct distortion by using naturally occurring laser speckle artifacts in the captured images. The speckle patterns serve as built-in reference markers that automatically reveal scanning speed variations without requiring external calibration devices or additional hardware components
Solution Approach 2:
The patent uses laser speckle artifacts as optical copies or proxies for physical reference markers. Instead of requiring actual calibration objects in the field of view, the speckle patterns created by coherent light scattering off the sample serve as virtual reference features that encode distortion information
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Produce more robust and cost-effective image correction results by compensating for distortions in real-time or post-processing, ensuring accurate image reconstruction.
Implementation Method 1
techniques for measuring and correcting image distortion based on a shape and/or size of speckles or other features that appear in the images
Data Source
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AI summary
A method of correcting distortion of an image, including: analyzing, by a processor, an image segment of the image to identify a speckle artifact, the image segment being obtained from a scanning imaging device; determining, by the processor, an aspect ratio of a shape of the speckle artifact; determining, by the processor, a correction factor for the shape of the speckle artifact based on the aspect ratio; and adjusting, by the processor, a dimension of the image segment based on the correction factor.