MACHINE LEARNING AND/OR IMAGE PROCESSING FOR SPECTRAL OBJECT CLASSIFICATION (USPTO)
USPTO link
Mark Gesley, Ph.D.
Spectral image microscopy for labelfree blood and cancer cell identification
Mark Gesley, Spynsite LLC, Oakland, CA, Robert Goldsby, UCSF Benio ff Children’s Hospital, San Francisco, CA, Stephen Lane, UC Davis, Sacramento, CA, and Romin Puri, Spynsite LLC, Oakland, CA ABSTRACT New forms of cancer cell identifi cation coupled with faster detection and better accuracy may enhance diagnostic capabilities. The purpose of this study is to improve recognition …
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A high throughput spectral image microscopy system
A high throughput spectral image microscopy system is configured for rapid detection of rare cells in large populations. To overcome flow cytometry rates and use of fluorophore tags, a system architecture integrates sample mechanical handling, signal processors, and optics in a non-confocal version of light absorption and scattering spectroscopic microscopy. Spectral images with native contrast …
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