Automated subcellular localization and quantification of protein expression in tissue microarrays

By R. Camp, G. Chung, David L. Rimm. Nature Medicine, 2002

773 citations recorded by the source corpus.

Subfields: Immunology and Allergy, Molecular Biology, Oncology

View Paper: https://www.semanticscholar.org/paper/17c07e520c44fa09023bcab8923c1fd0e921945c

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In Immunology and Allergy

In Molecular Biology

In Oncology

Citations in the corpus

Identification of tumor epithelium and stroma in tissue microarrays using texture analysis (2012, background): “Computer-assisted automated quantification of immunohistochemical protein staining has previously been shown to be feasible in TMAs [3-6] and resulted in higher reproducibility compared to human-based judgment [7].”
X-Tile (2004, methodology): “Quantitative analysis of expression was done on the tissue microarrays with the automated quantitative analysis (AQUA) method of analysis described previously (9) Briefly, antibodies for human epidermal growth factor receptor-2 (HER2; 1:8,000, polyclonal), estrogen receptor (ER, 1:500, monoclonal), ”
ImmunoRatio: a publicly available web application for quantitative image analysis of estrogen receptor (ER), progesterone receptor (PR), and Ki-67 (2010, methodology): “In addition to color deconvolution, stain separation and nuclei segmentation have been performed using texture analysis [32], cyan-magenta-yellow-black (CMYK) color model [33], hue-saturation-intensity color model [34], CIE 1976 L*u*v (CIELUV) color model [35], pattern recognition [36], cluster anal”
Digital imaging in pathology: whole-slide imaging and beyond. (2013, methodology): “html) is perhaps the most advanced pixel-level automated image-analysis system available today; multiple studies have shown the advantage of automated quantitation using this platform compared with the manual scoring of pathology samples (84, 85, 89, 93, 94).”
Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring (2012, methodology): “Methods exist to multiplex IHC using immunofluorescence [48], destaining and restaining protocols [49], multiple chromagens [50,51], and combining data from adjacent tissue sections [52,53].”
Automated subcellular location determination and high-throughput microscopy. (2007, positive): “Multicolor fluorescent staining of tissue microarrays has been used to distinguish tumor samples with different distributions of estrogen receptor or b-catenin (Camp et al., 2002).”
Histopathological Image Analysis: A Review (2009, neutral): “Recently, immuno-fluorescent labeling-based image analysis algorithms have been presented to quantify localization of proteins in tissue [25]–[27].”
The SIRT1 Deacetylase Suppresses Intestinal Tumorigenesis and Colon Cancer Growth (2008, background): “The constitutive presence of b-catenin in the nucleus is associated with its oncogenic function and clinically with a poor patient prognosis [29].”