Dunia Al Sheikhyaqoob, André Oliveira, Manuel Fella, Don Laferty, Gerald Niedobitek
{"title":"Polarised light scanner for digital pathology.","authors":"Dunia Al Sheikhyaqoob, André Oliveira, Manuel Fella, Don Laferty, Gerald Niedobitek","doi":"10.1007/s00428-024-03967-6","DOIUrl":null,"url":null,"abstract":"<p><p>Digital pathology is rapidly transforming diagnostic pathology by allowing remote work and integration of artificial intelligence solutions. Nevertheless, certain technical issues remain to be resolved. Notably, digital images captured by conventional scanners cannot be subjected to polarised light analysis [1]. We have therefore studied if images obtained using the Glissando POL Brightfield and Polarised Light Scanner are comparable to those obtained using conventional polarised light microscopy. Hematoxylin and eosin stained sections from 75 cases, including cases of amyloidosis, periprosthetic membranes, foreign body granulomas, gout, pseudogout, and breast tissues with calcium oxalate crystals were examined using both, a polarised light microscope and the Glissando POL scanner. Representative digital images were acquired for comparison. We here show that in all settings, the images obtained by conventional polarised light microscopy and using the Glissando POL scanner were comparable. We conclude that the Glissando POL scanner can be safely integrated into a digital pathology workflow.</p>","PeriodicalId":23514,"journal":{"name":"Virchows Archiv","volume":" ","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Virchows Archiv","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00428-024-03967-6","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PATHOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Digital pathology is rapidly transforming diagnostic pathology by allowing remote work and integration of artificial intelligence solutions. Nevertheless, certain technical issues remain to be resolved. Notably, digital images captured by conventional scanners cannot be subjected to polarised light analysis [1]. We have therefore studied if images obtained using the Glissando POL Brightfield and Polarised Light Scanner are comparable to those obtained using conventional polarised light microscopy. Hematoxylin and eosin stained sections from 75 cases, including cases of amyloidosis, periprosthetic membranes, foreign body granulomas, gout, pseudogout, and breast tissues with calcium oxalate crystals were examined using both, a polarised light microscope and the Glissando POL scanner. Representative digital images were acquired for comparison. We here show that in all settings, the images obtained by conventional polarised light microscopy and using the Glissando POL scanner were comparable. We conclude that the Glissando POL scanner can be safely integrated into a digital pathology workflow.
期刊介绍：
Manuscripts of original studies reinforcing the evidence base of modern diagnostic pathology, using immunocytochemical, molecular and ultrastructural techniques, will be welcomed. In addition, papers on critical evaluation of diagnostic criteria but also broadsheets and guidelines with a solid evidence base will be considered. Consideration will also be given to reports of work in other fields relevant to the understanding of human pathology as well as manuscripts on the application of new methods and techniques in pathology. Submission of purely experimental articles is discouraged but manuscripts on experimental work applicable to diagnostic pathology are welcomed. Biomarker studies are welcomed but need to abide by strict rules (e.g. REMARK) of adequate sample size and relevant marker choice. Single marker studies on limited patient series without validated application will as a rule not be considered. Case reports will only be considered when they provide substantial new information with an impact on understanding disease or diagnostic practice.
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