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Autonomous microscopy for single cell detection, manipulation, and analysis for diagnostics, life science research, and biotech applications

Summary
W. Louis Cleveland, Ph.D.
Technology Application
Autonomous single cell monitoring and manipulation for industrial-scale stem cell production for therapeutic applicationsAutonomous single-cell DNA sequence detection, e.g. in cancer cells isolated from peripheral blood or biopsiesPattern recognition in all types of imagesPatent information:Patent Issued (US 7958063)Tech Ventures Reference: IR 1600
Detailed Technology Description
W. Louis Cleveland, Ph.D.
*Abstract
None
*Inquiry
Ron KatzColumbia Technology VenturesTel: (212) 854-8444Email: TechTransfer@columbia.edu
*IR
1600
*Principal Investigator
*Publications
Long X, Cleveland WL, Yao YL, “Multiclass Detection of Cells in Multicontrast Composite Images,” Computers in Biology and Medicine 2010, 40: 168-178. Long Xi, Cleveland WL, Yao YL,”Multiclass cell detection in brightfield images of cell mixtures with ECOC probability estimation,” Image and Vision Computing 2008, 26: 578-591. Long X, Cleveland WL and Yao YL, "Automatic Detection of Unstained Viable Cells in Brightfield Images Using A Support Vector Machine with an Improved Training Procedure," Computers in Biology and Medicine 2006, 36(4): 339-62. Long X, Cleveland WL and Yao YL, "A New Preprocessing Approach for Cell Recognition," IEEE Transactions on Information Technology in Biomedicine 2005, 9(3): 407-412. Long X, Cleveland WL and Yao YL, "Effective Automatic Recognition of Cultured Cells in Brightfield Images Using Fischer’s Linear Discriminant Preprocessing," Image and Computing Vision, 2005, 23, pp.1203-1213.
*Web Links
Patent (WIPO): WO2006055413Patent Issued: US 7,958,063
Country/Region
USA

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