Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations
Mueller microscopy studies of fixed unstained histological cuts of human skin models were combined with an analysis of experimental data within the framework of differential Mueller matrix (MM) formalism. A custom-built Mueller polarimetric microscope was used in transmission configuration for the o...
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creator | Lee, Hee Ryung Li, Pengcheng Yoo, Thomas Sang Hyuk Lotz, Christian Groeber-Becker, Florian Kai Dembski, Sofia Garcia-Caurel, Enric Ossikovski, Razvigor Ma, Hui Novikova, Tatiana |
description | Mueller microscopy studies of fixed unstained histological cuts of human skin models were combined with an analysis of experimental data within the framework of differential Mueller matrix (MM) formalism. A custom-built Mueller polarimetric microscope was used in transmission configuration for the optical measurements of skin tissue model adjacent cuts of various nominal thicknesses (5 to 30 μm). The maps of both depolarization and polarization parameters were calculated from the corresponding microscopic MM images by applying a logarithmic Mueller matrix decomposition (LMMD) pixelwise. The parameters derived from LMMD of measured tissue cuts and the intensity of transmitted light were used for an automated segmentation of microscopy images to delineate dermal and epidermal layers. The quadratic dependence of depolarization parameters and linear dependence of polarization parameters on thickness, as predicted by the theory, was confirmed in our measurements. These findings pave the way toward digital histology with polarized light by presenting the combination of optimal optical markers, which allows mitigating the impact of tissue cut thickness fluctuations and increases the contrast of polarimetric images for tissue diagnostics. |
doi_str_mv | 10.1117/1.JBO.24.7.076004 |
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A custom-built Mueller polarimetric microscope was used in transmission configuration for the optical measurements of skin tissue model adjacent cuts of various nominal thicknesses (5 to 30 μm). The maps of both depolarization and polarization parameters were calculated from the corresponding microscopic MM images by applying a logarithmic Mueller matrix decomposition (LMMD) pixelwise. The parameters derived from LMMD of measured tissue cuts and the intensity of transmitted light were used for an automated segmentation of microscopy images to delineate dermal and epidermal layers. The quadratic dependence of depolarization parameters and linear dependence of polarization parameters on thickness, as predicted by the theory, was confirmed in our measurements. These findings pave the way toward digital histology with polarized light by presenting the combination of optimal optical markers, which allows mitigating the impact of tissue cut thickness fluctuations and increases the contrast of polarimetric images for tissue diagnostics.</description><identifier>ISSN: 1083-3668</identifier><identifier>EISSN: 1560-2281</identifier><identifier>DOI: 10.1117/1.JBO.24.7.076004</identifier><identifier>PMID: 31347339</identifier><language>eng</language><publisher>United States: Society of Photo-Optical Instrumentation Engineers</publisher><subject>Decomposition ; Depolarization ; Engineering Sciences ; Fibroblasts ; Fluctuations ; Histology ; Image contrast ; Image processing ; Image segmentation ; Imaging ; Light ; Luminous intensity ; Mathematical models ; Microscopy ; Optical measurement ; Optics ; Parameters ; Photonic ; Polarimetry ; Polarization ; Polarized light ; Signal and Image processing ; Skin ; Thickness ; Tissues</subject><ispartof>Journal of biomedical optics, 2019-07, Vol.24 (7), p.076004-076004</ispartof><rights>The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.</rights><rights>2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI. The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c548t-d40b8aed6fc86add459e8088559a2836513efd47afe2dba37dcbdfbbfdb9cd953</citedby><cites>FETCH-LOGICAL-c548t-d40b8aed6fc86add459e8088559a2836513efd47afe2dba37dcbdfbbfdb9cd953</cites><orcidid>0000-0002-7084-7579 ; 0000-0001-9662-0447 ; 0000-0001-7263-4190 ; 0000-0002-9048-9158</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2859649224/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2859649224?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,21367,27901,27902,33721,33722,43781,53766,53768,74045</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31347339$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02384030$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Hee Ryung</creatorcontrib><creatorcontrib>Li, Pengcheng</creatorcontrib><creatorcontrib>Yoo, Thomas Sang Hyuk</creatorcontrib><creatorcontrib>Lotz, Christian</creatorcontrib><creatorcontrib>Groeber-Becker, Florian Kai</creatorcontrib><creatorcontrib>Dembski, Sofia</creatorcontrib><creatorcontrib>Garcia-Caurel, Enric</creatorcontrib><creatorcontrib>Ossikovski, Razvigor</creatorcontrib><creatorcontrib>Ma, Hui</creatorcontrib><creatorcontrib>Novikova, Tatiana</creatorcontrib><title>Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations</title><title>Journal of biomedical optics</title><addtitle>J. Biomed. Opt</addtitle><description>Mueller microscopy studies of fixed unstained histological cuts of human skin models were combined with an analysis of experimental data within the framework of differential Mueller matrix (MM) formalism. A custom-built Mueller polarimetric microscope was used in transmission configuration for the optical measurements of skin tissue model adjacent cuts of various nominal thicknesses (5 to 30 μm). The maps of both depolarization and polarization parameters were calculated from the corresponding microscopic MM images by applying a logarithmic Mueller matrix decomposition (LMMD) pixelwise. The parameters derived from LMMD of measured tissue cuts and the intensity of transmitted light were used for an automated segmentation of microscopy images to delineate dermal and epidermal layers. The quadratic dependence of depolarization parameters and linear dependence of polarization parameters on thickness, as predicted by the theory, was confirmed in our measurements. These findings pave the way toward digital histology with polarized light by presenting the combination of optimal optical markers, which allows mitigating the impact of tissue cut thickness fluctuations and increases the contrast of polarimetric images for tissue diagnostics.</description><subject>Decomposition</subject><subject>Depolarization</subject><subject>Engineering Sciences</subject><subject>Fibroblasts</subject><subject>Fluctuations</subject><subject>Histology</subject><subject>Image contrast</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Imaging</subject><subject>Light</subject><subject>Luminous intensity</subject><subject>Mathematical models</subject><subject>Microscopy</subject><subject>Optical measurement</subject><subject>Optics</subject><subject>Parameters</subject><subject>Photonic</subject><subject>Polarimetry</subject><subject>Polarization</subject><subject>Polarized light</subject><subject>Signal and Image processing</subject><subject>Skin</subject><subject>Thickness</subject><subject>Tissues</subject><issn>1083-3668</issn><issn>1560-2281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1Uctu1DAUjRCIlpYPYIMssYFFgl9xbBZIpVBKNagbWFuO7UxckjiN7Vbz93iUtkAlVrauz-P6nKJ4hWCFEGreo-ri02WFadVUsGEQ0ifFIaoZLDHm6Gm-Q05Kwhg_KF6EcAUh5Eyw58UBQYQ2hIjDwn12WxfVAHoXoh_8dgduXezB92SHwS5gdHrxQft59wH0_hZEn0fRbVW0QE3AjbPSEfgORBdCskCnCGLv9K_JhgC6IemYVHR-CsfFs04Nwb68O4-Kn2dffpyel5vLr99OTzalrimPpaGw5coa1mnOlDG0FpZDzutaKMwJqxGxnaGN6iw2rSKN0a3p2rYzrdBG1OSo-LjqzqkdrdF2iosa5Ly4US076ZWT_75MrpdbfyOZELVgMAu8WwX6R7Tzk43czyAmnEICb1DGvr0zW_x1siHK0QWdo1OT9SlIjFnd0AbTveybR9Arn5YpRyExz8ZUYEwzCq2ofexhsd3DBgjKfekSyVy6xFQ2ci09c17__eMHxn3LGVCtgDA7-8f2_4q_ATXMuP8</recordid><startdate>20190701</startdate><enddate>20190701</enddate><creator>Lee, Hee Ryung</creator><creator>Li, Pengcheng</creator><creator>Yoo, Thomas Sang Hyuk</creator><creator>Lotz, Christian</creator><creator>Groeber-Becker, Florian Kai</creator><creator>Dembski, Sofia</creator><creator>Garcia-Caurel, Enric</creator><creator>Ossikovski, Razvigor</creator><creator>Ma, Hui</creator><creator>Novikova, Tatiana</creator><general>Society of Photo-Optical Instrumentation Engineers</general><general>S P I E - International Society for</general><general>Society of Photo-optical Instrumentation Engineers</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H8D</scope><scope>H8G</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>LK8</scope><scope>L~C</scope><scope>L~D</scope><scope>M7P</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-7084-7579</orcidid><orcidid>https://orcid.org/0000-0001-9662-0447</orcidid><orcidid>https://orcid.org/0000-0001-7263-4190</orcidid><orcidid>https://orcid.org/0000-0002-9048-9158</orcidid></search><sort><creationdate>20190701</creationdate><title>Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations</title><author>Lee, Hee Ryung ; Li, Pengcheng ; Yoo, Thomas Sang Hyuk ; Lotz, Christian ; Groeber-Becker, Florian Kai ; Dembski, Sofia ; Garcia-Caurel, Enric ; Ossikovski, Razvigor ; Ma, Hui ; Novikova, Tatiana</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c548t-d40b8aed6fc86add459e8088559a2836513efd47afe2dba37dcbdfbbfdb9cd953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Decomposition</topic><topic>Depolarization</topic><topic>Engineering Sciences</topic><topic>Fibroblasts</topic><topic>Fluctuations</topic><topic>Histology</topic><topic>Image contrast</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Imaging</topic><topic>Light</topic><topic>Luminous intensity</topic><topic>Mathematical models</topic><topic>Microscopy</topic><topic>Optical measurement</topic><topic>Optics</topic><topic>Parameters</topic><topic>Photonic</topic><topic>Polarimetry</topic><topic>Polarization</topic><topic>Polarized light</topic><topic>Signal and Image processing</topic><topic>Skin</topic><topic>Thickness</topic><topic>Tissues</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Hee Ryung</creatorcontrib><creatorcontrib>Li, Pengcheng</creatorcontrib><creatorcontrib>Yoo, Thomas Sang Hyuk</creatorcontrib><creatorcontrib>Lotz, Christian</creatorcontrib><creatorcontrib>Groeber-Becker, Florian Kai</creatorcontrib><creatorcontrib>Dembski, Sofia</creatorcontrib><creatorcontrib>Garcia-Caurel, Enric</creatorcontrib><creatorcontrib>Ossikovski, Razvigor</creatorcontrib><creatorcontrib>Ma, Hui</creatorcontrib><creatorcontrib>Novikova, Tatiana</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>ProQuest Biological Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of biomedical optics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lee, Hee Ryung</au><au>Li, Pengcheng</au><au>Yoo, Thomas Sang Hyuk</au><au>Lotz, Christian</au><au>Groeber-Becker, Florian Kai</au><au>Dembski, Sofia</au><au>Garcia-Caurel, Enric</au><au>Ossikovski, Razvigor</au><au>Ma, Hui</au><au>Novikova, Tatiana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations</atitle><jtitle>Journal of biomedical optics</jtitle><addtitle>J. Biomed. Opt</addtitle><date>2019-07-01</date><risdate>2019</risdate><volume>24</volume><issue>7</issue><spage>076004</spage><epage>076004</epage><pages>076004-076004</pages><issn>1083-3668</issn><eissn>1560-2281</eissn><abstract>Mueller microscopy studies of fixed unstained histological cuts of human skin models were combined with an analysis of experimental data within the framework of differential Mueller matrix (MM) formalism. A custom-built Mueller polarimetric microscope was used in transmission configuration for the optical measurements of skin tissue model adjacent cuts of various nominal thicknesses (5 to 30 μm). The maps of both depolarization and polarization parameters were calculated from the corresponding microscopic MM images by applying a logarithmic Mueller matrix decomposition (LMMD) pixelwise. The parameters derived from LMMD of measured tissue cuts and the intensity of transmitted light were used for an automated segmentation of microscopy images to delineate dermal and epidermal layers. The quadratic dependence of depolarization parameters and linear dependence of polarization parameters on thickness, as predicted by the theory, was confirmed in our measurements. These findings pave the way toward digital histology with polarized light by presenting the combination of optimal optical markers, which allows mitigating the impact of tissue cut thickness fluctuations and increases the contrast of polarimetric images for tissue diagnostics.</abstract><cop>United States</cop><pub>Society of Photo-Optical Instrumentation Engineers</pub><pmid>31347339</pmid><doi>10.1117/1.JBO.24.7.076004</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7084-7579</orcidid><orcidid>https://orcid.org/0000-0001-9662-0447</orcidid><orcidid>https://orcid.org/0000-0001-7263-4190</orcidid><orcidid>https://orcid.org/0000-0002-9048-9158</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Decomposition Depolarization Engineering Sciences Fibroblasts Fluctuations Histology Image contrast Image processing Image segmentation Imaging Light Luminous intensity Mathematical models Microscopy Optical measurement Optics Parameters Photonic Polarimetry Polarization Polarized light Signal and Image processing Skin Thickness Tissues |
title | Digital histology with Mueller microscopy: how to mitigate an impact of tissue cut thickness fluctuations |
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