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Article by
Anne Paxton featured in November issue
of CAP TODAY
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IT challenges don't
drown the drum of digital
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Virtual versus hands-on. Algorithm
versus diagnosis. Computer systems versus anatomy.
Software versus wetware. It would seem that the worlds
of information technology and pathology could hardly
be more different. But pathology's embrace of digital
technology is moving the profession solidly into
digital image capture for archiving, trading, and
training—with some institutions already on
the leading edge of more complex uses.
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Article by Dr Liron Pantanowitz on PATHIAM IVD featured in September issue of Advance for Administrators of the Laboratory magazine
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Automated Her2 Digital Image Analysis
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The article discusses how automated quantitative
image analysis can provide a reliable and cost-effective
alternative to manual scoring for determining HER2
status. Testing newly diagnosed breast cancer specimens
for HER2 status is now standard of practice for the
management of breast cancer in the United States.
This author talks about automated digital analysis
for Her2 using BioImagene’s PATHIAM software.
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Article by
Dr Barsky and BioImagene featured in Biophotonics
International – July issue |
Automation of
whole slide and tissue microarray interpretation
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email: Sanford H. Barsky (sanford.barsky@osumc.edu)
Correspondence to Sanford H. Barsky, Department
of Pathology, The Ohio State University College of
Medicine, Columbus, OH 43210, USA
The article discusses how technological advances
have made digital pathology widely accepted. One
of the advances is the development of algorithms
that can be used to identify tumor cells in a background
of stroma. The algorithmic approaches establish a
proof of principle that diverse tissue patterns of
disease can be studied and analyzed by artificial
intelligence.
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Journal of
Microscopy (June 2007) features key study by BioImagene |
Semi-automated
imaging system to quantitate estrogen and progesterone
receptor immunoreactivity in human breast cancer
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Sharangpani,G.M, 1;
Joshi,A.S. 1; Porter,K. 2; Deshpande,A.S. 1;
Keyhani,S 3; Naik,G.A. 1; Gholap,A.S 1; Barsky,S.H. 3 *
1BioImagene, Inc., 1601 S. De Anza Blvd., Suite 212, Cupertino, California, U.S.A.
2The Ohio State University Center for Biostatistics
3Department of Pathology, The Ohio State University College of Medicine, Columbus,
Ohio, U.S.A.
email: Sanford H. Barsky (sanford.barsky@osumc.edu)
Correspondence to Sanford H. Barsky, Department of Pathology, The Ohio State
University College of Medicine, Columbus, OH 43210, USA
A semi-automated imaging system is described to quantitate estrogen and progesterone
receptor immunoreactivity in human breast cancer. The study discusses how BioImagene's
semi-automated imaging system `adds value' as a means of measuring these important
nuclear biomarkers of human breast cancer.
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Journal “Cytometry” Part
A (May 2007) features key study by BioImagene |
Semi-automated
imaging system to quantitate Her-2/neu membrane receptor
immunoreactivity in human breast cancer
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Aparna S. Joshi 1, Girish M. Sharangpani 1, Kyle Porter 2, Sedigheh Keyhani 3, Carl Morrison 3, Amitabha S. Basu 1, Gauri A. Gholap 1, Abhi S. Gholap 1, Sanford H. Barsky 3
*1BioImagene Inc., Suite 212, Cupertino, California 95014
2The Ohio State University Center for Biostatistics, Columbus, Ohio 43210
3Department of Pathology, The Ohio State University College of Medicine, Columbus,
Ohio 43210
email: Sanford H. Barsky (sanford.barsky@osumc.edu)
Correspondence to Sanford H. Barsky, Department
of Pathology, The Ohio State University College of
Medicine, Columbus, OH 43210, USA
This study was conducted by BioImagene in collaboration with OSU (Ohio State
University). The study discusses how the digital
pathology solution provided by BioImagene for Her2/neu
is equivalent to the manual reading of slides by
a pathologist and reduces inter-observer, intra-observer
variability. |
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