Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment
Hematoxylin-eosin (H&E) staining of tissue has been the mainstay of pathology for more than a century. However, the learning curve for H&E tissue interpretation is long, whereas intra- and interobserver variability remain high. Computer-assisted image analysis of H&E sections holds promi...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2015-06-01
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| Series: | Molecular Imaging |
| Online Access: | https://doi.org/10.2310/7290.2015.00005 |
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| author | Summer L. Gibbs Elizabeth Genega Jeffery Salemi Vida Kianzad Haley L. Goodwill Yang Xie Rafiou Oketokoun Parmeshwar Khurd Ali Kamen John V. Frangioni |
| author_facet | Summer L. Gibbs Elizabeth Genega Jeffery Salemi Vida Kianzad Haley L. Goodwill Yang Xie Rafiou Oketokoun Parmeshwar Khurd Ali Kamen John V. Frangioni |
| author_sort | Summer L. Gibbs |
| collection | DOAJ |
| description | Hematoxylin-eosin (H&E) staining of tissue has been the mainstay of pathology for more than a century. However, the learning curve for H&E tissue interpretation is long, whereas intra- and interobserver variability remain high. Computer-assisted image analysis of H&E sections holds promise for increased throughput and decreased variability but has yet to demonstrate significant improvement in diagnostic accuracy. Addition of biomarkers to H&E staining can improve diagnostic accuracy; however, coregistration of immunohistochemical staining with H&E is problematic as immunostaining is completed on slides that are at best 4 μm apart. Simultaneous H&E and immunostaining would alleviate coregistration problems; however, current opaque pigments used for immunostaining obscure H&E. In this study, we demonstrate that diagnostic information provided by two or more independent wavelengths of near-infrared (NIR) fluorescence leave the H&E stain unchanged while enabling computer-assisted diagnosis and assessment of human disease. Using prostate cancer as a model system, we introduce NIR digital pathology and demonstrate its utility along the spectrum from prostate biopsy to whole mount analysis of H&E-stained tissue. |
| format | Article |
| id | doaj-art-8b4b87f2d4db444d8c6eb12392603002 |
| institution | Kabale University |
| issn | 1536-0121 |
| language | English |
| publishDate | 2015-06-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Molecular Imaging |
| spelling | doaj-art-8b4b87f2d4db444d8c6eb123926030022025-01-03T00:11:15ZengSAGE PublishingMolecular Imaging1536-01212015-06-011410.2310/7290.2015.0000510.2310_7290.2015.00005Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker AssessmentSummer L. GibbsElizabeth GenegaJeffery SalemiVida KianzadHaley L. GoodwillYang XieRafiou OketokounParmeshwar KhurdAli KamenJohn V. FrangioniHematoxylin-eosin (H&E) staining of tissue has been the mainstay of pathology for more than a century. However, the learning curve for H&E tissue interpretation is long, whereas intra- and interobserver variability remain high. Computer-assisted image analysis of H&E sections holds promise for increased throughput and decreased variability but has yet to demonstrate significant improvement in diagnostic accuracy. Addition of biomarkers to H&E staining can improve diagnostic accuracy; however, coregistration of immunohistochemical staining with H&E is problematic as immunostaining is completed on slides that are at best 4 μm apart. Simultaneous H&E and immunostaining would alleviate coregistration problems; however, current opaque pigments used for immunostaining obscure H&E. In this study, we demonstrate that diagnostic information provided by two or more independent wavelengths of near-infrared (NIR) fluorescence leave the H&E stain unchanged while enabling computer-assisted diagnosis and assessment of human disease. Using prostate cancer as a model system, we introduce NIR digital pathology and demonstrate its utility along the spectrum from prostate biopsy to whole mount analysis of H&E-stained tissue.https://doi.org/10.2310/7290.2015.00005 |
| spellingShingle | Summer L. Gibbs Elizabeth Genega Jeffery Salemi Vida Kianzad Haley L. Goodwill Yang Xie Rafiou Oketokoun Parmeshwar Khurd Ali Kamen John V. Frangioni Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment Molecular Imaging |
| title | Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment |
| title_full | Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment |
| title_fullStr | Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment |
| title_full_unstemmed | Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment |
| title_short | Near-Infrared Fluorescent Digital Pathology for the Automation of Disease Diagnosis and Biomarker Assessment |
| title_sort | near infrared fluorescent digital pathology for the automation of disease diagnosis and biomarker assessment |
| url | https://doi.org/10.2310/7290.2015.00005 |
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