Nuclear v9 algorithm
The Nuclear v9 algorithm is a computational tool designed for image processing and analysis. It is a core function that performs numerical calculations and mathematical operations on digital image data. The algorithm enables the processing and manipulation of visual information, facilitating tasks such as image enhancement, segmentation, and feature extraction. The specific details and intended use cases for this product are not available.
6 protocols using nuclear v9 algorithm
Immunohistochemical Scoring Algorithm
Quantitative Protein Expression Analysis
H-score method was applied to evaluate protein expression. The percentage of tumor cells with positive cytoplasmic or nucleus staining on each TMA core was calculated and assigned a score of either 0 (0% stained tumor cells), 0.1 (1-9%), 0.5 (10-49%), or 1 (≥ 50%). The staining intensity was assigned a score of either 0 (weakest intensity), 1, 2, or 3 (strongest intensity). Each H-score was obtained by multiplying the proportion by the staining intensity. The median values of all mean H-scores were used as the cut-off values for the classi cation of the expression of the nine proteins as either "low" or "high" (Supplementary Fig. 2).
Quantitative Immunohistochemical Analysis of DNA Mismatch Repair Proteins
Automated Analysis of IHC Staining
Quantifying ERα and PR Expression in Fallopian Tubes
ATRX Immunohistochemistry in Glioblastoma
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