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Pathscan Enabler At Md Anderson Cancer Center, George Mcnamara
Pathscan Enabler At Md Anderson Cancer Center, George Mcnamara
George McNamara
McNamara 20140703 - Additional Pathscan and Tiki_Goddess related resources
http://works.bepress.com/gmcnamara/52
http://home.earthlink.net/~tiki_goddess/
http://works.bepress.com/gmcnamara/1/
http://works.bepress.com/gmcnamara/11/
https://www.linkedin.com/in/georgemcnamara
Our Pathscan Enabler IV, delivered July 2014, uses the QuickScan software to scan a histology slide in "two clicks" (after loading the
slide):
1. Push the QuickScan button on the front of the Pathscan Enabler.
2. Click the Scan button in the QuickScan pop-up application (optional: change scan area in the Prescan image window).
The image gets saved as a TIFF file to the Windows 7 (64-bit) desktop.
I have been using Pathscan Enabler's since version I in 2000. See Chantrain et al 2003:
Chantrain CF, …
Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara
Flatbed Scanner Report - Optical Density Dynamic Range, George Mcnamara
George McNamara
George McNamara (now at University of Miami) report for Hua Yu and Richard Jove, City of Hope National Medical Center, on optical density dynamic range of several flatbed scanners.
Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara
Mcnamara 2011 Feature Extraction (Image Analysis), George Mcnamara
George McNamara
Feature Extraction presentation and movies in a ZIP file from a presentation I gave at ISAC 2011 in Baltomore, Md.
Feature extraction is one phrase for image analysis.
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Statistical Methods For Proteomic Biomarker Discovery Based On Feature Extraction Or Functional Modeling Approaches, Jeffrey S. Morris
Jeffrey S. Morris
In recent years, developments in molecular biotechnology have led to the increased promise of detecting and validating biomarkers, or molecular markers that relate to various biological or medical outcomes. Proteomics, the direct study of proteins in biological samples, plays an important role in the biomarker discovery process. These technologies produce complex, high dimensional functional and image data that present many analytical challenges that must be addressed properly for effective comparative proteomics studies that can yield potential biomarkers. Specific challenges include experimental design, preprocessing, feature extraction, and statistical analysis accounting for the inherent multiple testing issues. This paper reviews various computational …