Journal: Journal of Personalized Medicine
Article Title: Digital Validation in Breast Cancer Needle Biopsies: Comparison of Histological Grade and Biomarker Expression Assessment Using Conventional Light Microscopy, Whole Slide Imaging, and Digital Image Analysis
doi: 10.3390/jpm14030312
Figure Lengend Snippet: Examples of images analyzed using digital image analysis (DIA) software for the assessment of breast cancer biomarker expression (QuantCenter Digital Image Analysis Software Version 2.2, 3DHISTECH, Budapest, Hungary). ( a ) Tumor cells strongly stained for ER, detected via the software, and highlighted as red circles. ( b ) PR-stained slide from the same case as ER, exhibiting a more heterogenous pattern compared to that of ER. Different staining intensities are indicated by color (0: blue; 1+: yellow; 2+: orange; 3+: red). ( c ) HER2-stained image classified as 0 (blue), 1+ (yellow), 2+ (orange), or 3+ (red). ( d ) Ki67 staining, identified as negative (blue) or positive (red). ( a – d ) Images captured at original magnification: ×40.
Article Snippet: Four primary antibodies were used: ER (1:100, 6F11; Novocastra Laboratories, Newcastle, UK), PR (1:100, 16; Novocastra Laboratories), HER2 (C-erbB2 oncoprotein, 1:600, polyclonal; Dako, Glostrup, Denmark), and Ki-67 (1:50, MIB-1; Dako).
Techniques: Software, Biomarker Assay, Expressing, Staining