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Differential effects of Resveratrol on androgen-responsive LNCaP human prostate cancer cells in vitro and in vivo. P-11

Quantitation of IHC results using image analysis

All IHC slides, other than VEGF, were quantitated using the following protocol. The image was acquired using a Nikon DXM1200F Digital Camera (Nikon Eclipse 80i Microscope, Nikon ACT-1 v2.70 software) and analyzed using Image-Pro Plus v5.0 with custom-designed macros. Parameters for image analysis were as follows:

(i) All images were taken at a constant exposure associated with a particular group of stains.
(ii) Images were acquired pseudorandomly with no images overlapping the same areas.
(iii) All macros were constructed from a random set of images from the associated stain to compensate for variability within the group.
(iv) All images were acquired at ×20 (×200 total magnification).
(v) Ten areas were randomly taken for each slide, and data are presented as an average.

Special notes per stain are as follows. For PSA analysis, no post-capture modification was done to the images in order to preserve the color intensity of each sample. A 3-tier intensity scale was arbitrarily constructed to sort the varying degree of positive cells into groups. Data supplied included raw area in millimeter square and percent composition of each group of cells that make up the particular image and were expressed as PSA expression indices. For PCNA analysis, all images were calibrated to a master (single image) color profile to maximize accuracy.

Total cells were counted as well as total tissue area (excluding white space). Data were presented as cells per area of tissue in millimeter square and expressed as proliferation indices. For apoptosis analysis, all images were calibrated to a master (single image) color profile to maximize accuracy. Apoptotic cells were analyzed through contrast enhancement algorithms. Data were presented as raw apoptotic cell counts and expressed as apoptosis indices. For PECAM-1 analysis, all images were calibrated to a master (single image) color profile to maximize accuracy. Vessels were analyzed through contrast enhancement algorithms. Non-specific/background signal was filtered out via morphological algorithms. Data were presented as raw vessel counts and expressed as angiogenesis indices.

Article Produced By

Diet, Genomics and Immunology Laboratory, Beltsville Human Nutrition Research Center, Agriculture Research Service, United States Department of Agriculture, 10300 Baltimore Avenue, Building 307C, Room 132, Beltsville, MD. Laboratory of Cellular Regulation and Carcinogenesis, National Cancer Institutes, National Institutes of Health, Department of Nutrition and Food Science, University of Maryland, College Park, Department of Pharmaceutical Sciences and Pharmacology and Toxicology Graduate Program College of Pharmacy, Washington State University, Pullman, National Food Research Institute, Tsukuba, Ibaraki 305-8642, Japan. Nutritional Sciences Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. Biometrical Consulting Service, Beltsville Area, Agriculture Research Service, United States Department of Agriculture, Beltsville, MD 20705, USA. Division of Nutritional Sciences, University of Texas at Austin, Austin, TX 78712, USA. Department of Carcinogenesis, MD Anderson Cancer Center, Smithville, TX 78957, USA
 

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