Demetri Psaltis
École Polytechnique Fédérale de Lausanne
914 Papers
8.6K Citations
Demetri Psaltis is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Holography & Multi-mode optical fiber. The author has an hindex of 82, co-authored 861 publications. Previous affiliations of Demetri Psaltis include California Institute of Technology & Northrop Grumman Corporation.
Chat about Author
Papers
Optoelectronic Chip for the Implementation of Back Error Propagation
Hsin-Yu Li,J.-J. Drolet,Demetri Psaltis,M.A. Handschy +3 more
- 29 Jul 1992
TL;DR: A CMOS silicon chip that optically implements the back error propagation (BEP) algorithm of a two layer neural network that consists of a phototransistor as the detector, a modulator pad for light modulation, sample-and-hold circuits, and additional circuits necessary to perform the BEP algorithm.
Acousto-Optic/CCD Image Processor
Demetri Psaltis,Eung Gi Paek,Santosh S. Venkatesh +2 more
- 15 Apr 1983
TL;DR: Optical image correlators are presented that use acousto-optic and charge-coupled devices as the input and output transducers respectively and the applicability to pattern recognition of a non-linear pseudo-correlation that can also be conveniently computed with these processors is discussed.
1
Optically Programmable Field Programmable Gate Arrays (FPGA) Systems
Jose Mumbru,George Panotopoulos,Demetri Psaltis +2 more
- 01 Jan 2004
TL;DR: This report presents a system that uses holograms to extract spatial and color information (4-D imaging) of a specimen and project it on to a 2-D space on the detector and makes the case that a direct interface between an optical memory and a chip integrating detectors and logic circuitry can better utilize the high parallelism inherent in holographic modules.
1
Multicasting Optical Reconfigurable Switch
Niyazi Ulas Dinc,Mustafa Yildirim,Christophe Moser,Demetri Psaltis +3 more
TL;DR: This approach enables arbitrarily programmable simultaneous unicast and multicast connectivity, eliminating the need for optical splitters that hinder scalability due to optical power loss, and uses phase modulation in multiple layers, tailored to implement any multicast connectivity map.
1
Imaging cell clusters and tissue using learning tomography
M. Hasani Shoreh,Alexandre Goy,Joowon Lim,Ulugbek S. Kamilov,Michael Unser,Demetri Psaltis +5 more
- 26 Jun 2017
TL;DR: In this paper, an experimental comparison of optical tomography techniques: Learning Tomography (LT), an iterative method based on beam propagation model and diffraction tomography (DT) based Born and Rytov approximation is presented.
1