Near-infrared fluorescent digital pathology for the automation of disease diagnosis and biomarker assessment.
Near-infrared fluorescent digital pathology for the automation of disease diagnosis and biomarker assessment.
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DOI：
10.2310/7290.2015.00005
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发表时间：
2015
影响因子：
2.8
通讯作者：
Frangioni JV
中科院分区：
文献类型：
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作者：
Gibbs SL;Genega E;Salemi J;Kianzad V;Goodwill HL;Xie Y;Oketokoun R;Khurd P;Kamen A;Frangioni JV
Hematoxylin and 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 while intra- and interobserver variability remains 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 co-registration 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 co-registration 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.
影响因子：
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作者：
Khurd P;Grady L;Oketokoun R;Sundar H;Gajera T;Gibbs-Strauss S;Frangioni JV;Kamen A
通讯作者：
Kamen A