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RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

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Updated: Dec 20, 2025

High-Accuracy Correction of 3D Chromatic Shifts in the Age of Super-Resolution Biological Imaging Using Chromagnon

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Published on: June 16, 2020

Simple Shading Correction Method for Brightfield Whole Slide Imaging.

Yoon-Oh Tak^1,2, Anjin Park², Janghoon Choi^1,2

¹Gwangju Institute of Science and Technology, the School of Mechanical Engineering, Gwangju 61005, Korea.

Sensors (Basel, Switzerland)

|June 4, 2020

Summary

This summary is machine-generated.

A new shading correction method improves whole slide imaging (WSI) by reducing black plaid patterns caused by shading distortion and fixed-pattern noise. This robust technique offers better image quality for digital pathology applications.

Keywords:

biomedical image processing biomedical imaging brightfield microscopy shading correction whole slide imaging

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Area of Science:

Digital Pathology
Computational Imaging
Microscopy

Background:

Whole slide imaging (WSI) creates high-resolution digital slides by stitching multiple images.
Shading distortion, appearing as black plaid patterns, degrades WSI quality.
Fixed-pattern noise also impacts image uniformity under consistent illumination.

Purpose of the Study:

To present a simple yet robust shading correction method for brightfield WSI.
To address artifacts from dust, bubbles, and fixed-pattern noise.
To improve the visual quality of digital pathology images.

Main Methods:

A two-step approach to model shading distortion from image sequences.
Construction of candidate shading distortion models.
Selection of the optimal model for correction.

Main Results:

The proposed method achieved superior correction scores compared to CIDRE (0.39 ± 0.099 vs. 0.67 ± 0.047) and BaSiC (0.39 ± 0.099 vs. 0.55 ± 0.038).
Demonstrated effectiveness in correcting both shading distortion and fixed-pattern noise.
Outperformed state-of-the-art methods without imposing smooth operations or constraints during distortion estimation.

Conclusions:

The proposed method offers a significant improvement in shading correction for WSI.
It effectively corrects shading distortion and fixed-pattern noise, enhancing image fidelity.
This technique provides a valuable tool for digital pathology and biomedical imaging research.