Mark Gesley and Romin Puri, Spynsite LLC, Oakland, CA ABSTRACT Objects of interest are rendered from spectral images. Seven types of blood and cancer cells are imaged in a micro-scope with changes in source illumination and sensor gain over one year calibrated. Chromatic distortion is measured and corrections analyzed. Background is discriminated with binary decisions […]
Rendering of Spectral Images Read More »
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 ABSTRACTNew 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 of
Spectral image microscopy for labelfree blood and cancer cell identification Read More »
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
A high throughput spectral image microscopy system Read More »
