Quantum dot-based image sensors for cutting-edge commercial multispectral cameras
Wednesday, November 9, 2016 - 4:30pm to 5:15pm
Packard 101
Dr. Emanuele Mandelli (InVisage Technologies)
Abstract / Description: 

This work presents the development of a quantum dot-based photosensitive film engineered to be integrated on standard CMOS process wafers. It enables the design of exceptionally high performance, reliable image sensors. Quantum dot solids absorb light much more rapidly than typical silicon-based photodiodes do, and with the ability to tune the effective material bandgap, quantum dot-based imagers enable higher quantum efficiency over extended spectral bands, both in the Visible and IR regions of the spectrum. Moreover, a quantum dot-based image sensor enables desirable functions such as ultra-small pixels with low crosstalk, high full well capacity, global shutter and wide dynamic range at a relatively low manufacturing cost. At InVisage, we have optimized the manufacturing process flow and are now able to produce high-end image sensors for both visible and NIR in quantity.


The Stanford Center for Image Systems Engineering (SCIEN) is a partnership between the Stanford School of Engineering and technology companies developing imaging systems for the enhancement of human communication.


Emanuele is Vice President of Engineering at InVisage Technologies, an advanced materials and camera platform company based in Menlo Park, CA. He has more than 20 years of experience with image sensors, X-ray, and particle physics detectors. He began his career at the Lawrence Berkeley National Laboratory, where he designed integrated circuits for high energy physics and helped deliver the pixel readout modules for the Atlas CERN inner detector in the Large Hadron Collider that confirmed the Higgs boson theory. He then joined AltaSens, an early stage startup company spun off from Rockwell Scientific and later acquired by JVC Kenwood, where he designed high-end CMOS image sensors for cinematographers, television broadcasters and filmmakers. He has been a reviewer for the NSS-MIC conference and he is author of numerous papers and image sensor-related patents. He holds a PhD, MS and BS in Electrical Engineering and Computer Science from the University of Pavia, Italy.