Image Artifact Correction via Pixel-Specific Row Sum Analysis
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Solution Overview
Problem
Image artifacts, such as stripes, often appear in reconstructed images due to the scanning process using multiple detectors, which can be exacerbated by image processing steps like deconvolution and sharpening filters, particularly in parallelized methods and Z-stacks.
Innovation Solution
A method that calculates pixel-specific row sums from intensity values captured by detectors, uses these sums to determine correction values, and applies them to the reconstructed image data to reduce artifacts, optionally using mean values, normalization, and maximum intensity projections across multiple dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If parallelized scanning method is used with multiple detectors, then scanning speed and productivity are improved, but stripe artifacts appear in the reconstructed image
Solution Approach 1:
The patent applies local quality by calculating pixel-specific correction values based on the local intensity distribution and optical recording behavior of each detector. Each pixel receives a customized correction value derived from its own row sums and intensity characteristics, rather than applying a uniform correction across the entire image. This localized approach effectively reduces stripe artifacts while preserving the benefits of parallelized scanning.
2Manufacturing precision
If deconvolution and sharpening filters are applied to correct bandwidth-limited scanning, then image sharpness is improved, but visibility of stripe artifacts is amplified
Solution Approach 1:
The patent applies preliminary action by calculating and applying correction values to the raw scanned image data before performing deconvolution and sharpening operations. The correction values are derived from the intensity distribution and optical recording characteristics of each detector, and are applied as a preliminary step to compensate for stripe artifacts. This prevents the amplification of artifacts during subsequent deconvolution and sharpening processing.
3Productivity
If multiple detectors are used to capture image data in parallel, then data acquisition speed is improved, but different optical recording behaviors cause inconsistent intensity values
Solution Approach 1:
The patent applies parameter changes by calculating correction values that adjust the intensity measurements from different detectors to a common reference scale. The correction values are derived from the intensity distribution characteristics and optical recording behavior of each detector, transforming the inconsistent intensity values into consistent measurements that can be reliably combined to form the reconstructed image.
Data Source
AI summary
The invention relates to a method for reducing image artifacts in images of a sample captured by scanning, wherein intensity values of at least two detection regions, denoted as pixels (Pxn), are captured along respectively one row (j) in a first scanning direction. A reconstructed image is produced on the basis of the captured intensity values. According to the invention, the intensity values of the reconstructed image are summed along the rows (j) respectively scanned by a certain pixel (Pxn) and a row sum is formed in each case. A correction value of the pixel (Pxn) is ascertained on the basis of the row sums formed thus and the correction value is applied to the intensity values, captured by means of the pixel (Pxn), of the reconstructed image, as a result of which a corrected image is obtained.