Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System

Image quality, resolution and scanning time are critical in digital pathology. In order to create a high-resolution digital image, the scanner systems execute stitching algorithms to the digitized images. Due to the heterogeneity of the tissue sample, complex optical path, non-acceptable sample qual...

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Autores principales:	Róbert Paulik, Miklós Kozlovszky, Béla Molnár
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	digital pathology compensation illumination inhomogeneity field of view adaptive histogram matching Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/60bfc6feb59b446f9ac5fe33a46cd90f
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spelling	oai:doaj.org-article:60bfc6feb59b446f9ac5fe33a46cd90f2021-11-11T19:06:12ZRegression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System10.3390/s212170851424-8220https://doaj.org/article/60bfc6feb59b446f9ac5fe33a46cd90f2021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7085https://doaj.org/toc/1424-8220Image quality, resolution and scanning time are critical in digital pathology. In order to create a high-resolution digital image, the scanner systems execute stitching algorithms to the digitized images. Due to the heterogeneity of the tissue sample, complex optical path, non-acceptable sample quality or rapid stage movement, the intensities on pictures can be uneven. The evincible and visible intensity distortions can have negative effect on diagnosis and quantitative analysis. Utilizing the common areas of the neighboring field-of-views, we can estimate compensations to eliminate the inhomogeneities. We implemented and validated five different approaches for compensating output images created with an area scanner system. The proposed methods are based on traditional methods such as adaptive histogram matching, regression-based corrections and state-of-the art methods like the background and shading correction (BaSiC) method. The proposed compensation methods are suitable for both brightfield and fluorescent images, and robust enough against dust, bubbles, and optical aberrations. The proposed methods are able to correct not only the fixed-pattern artefacts but the stochastic uneven illumination along the neighboring or above field-of-views utilizing iterative approaches and multi-focal compensations.Róbert PaulikMiklós KozlovszkyBéla MolnárMDPI AGarticledigital pathologycompensationilluminationinhomogeneityfield of viewadaptive histogram matchingChemical technologyTP1-1185ENSensors, Vol 21, Iss 7085, p 7085 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	digital pathology compensation illumination inhomogeneity field of view adaptive histogram matching Chemical technology TP1-1185
spellingShingle	digital pathology compensation illumination inhomogeneity field of view adaptive histogram matching Chemical technology TP1-1185 Róbert Paulik Miklós Kozlovszky Béla Molnár Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
description	Image quality, resolution and scanning time are critical in digital pathology. In order to create a high-resolution digital image, the scanner systems execute stitching algorithms to the digitized images. Due to the heterogeneity of the tissue sample, complex optical path, non-acceptable sample quality or rapid stage movement, the intensities on pictures can be uneven. The evincible and visible intensity distortions can have negative effect on diagnosis and quantitative analysis. Utilizing the common areas of the neighboring field-of-views, we can estimate compensations to eliminate the inhomogeneities. We implemented and validated five different approaches for compensating output images created with an area scanner system. The proposed methods are based on traditional methods such as adaptive histogram matching, regression-based corrections and state-of-the art methods like the background and shading correction (BaSiC) method. The proposed compensation methods are suitable for both brightfield and fluorescent images, and robust enough against dust, bubbles, and optical aberrations. The proposed methods are able to correct not only the fixed-pattern artefacts but the stochastic uneven illumination along the neighboring or above field-of-views utilizing iterative approaches and multi-focal compensations.
format	article
author	Róbert Paulik Miklós Kozlovszky Béla Molnár
author_facet	Róbert Paulik Miklós Kozlovszky Béla Molnár
author_sort	Róbert Paulik
title	Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
title_short	Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
title_full	Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
title_fullStr	Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
title_full_unstemmed	Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System
title_sort	regression based iterative illumination compensation method for multi-focal whole slide imaging system
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/60bfc6feb59b446f9ac5fe33a46cd90f
work_keys_str_mv	AT robertpaulik regressionbasediterativeilluminationcompensationmethodformultifocalwholeslideimagingsystem AT mikloskozlovszky regressionbasediterativeilluminationcompensationmethodformultifocalwholeslideimagingsystem AT belamolnar regressionbasediterativeilluminationcompensationmethodformultifocalwholeslideimagingsystem
_version_	1718431587124641792

Regression Based Iterative Illumination Compensation Method for Multi-Focal Whole Slide Imaging System

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