Demetri Psaltis

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Related publications (271)

Modelling and Integrating Nonlinear Optical Transformations in Neural Networks

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç

We experimentally demonstrate a hybrid optical-digital neural network utilizing a high-dimensional nonlinear optics system. Precise digital modelling enables the system to achieve competitive performance in machine learning tasks. ...

Optical Society of America2023

Nonlinear optical feature generator for machine learning

Demetri Psaltis, Christophe Moser

Modern machine learning models use an ever-increasing number of parameters to train (175 x 10(9) parameters for GPT-3) with large datasets to achieve better performance. Optical computing has been rediscovered as a potential solution for large-scale data p ...

Aip Publishing2023

Predicting nonlinear optical scattering with physics-driven neural networks

Demetri Psaltis, Carlo Gigli, Ahmed Ayoub

Deep neural networks trained on physical losses are emerging as promising surrogates for nonlinear numerical solvers. These tools can predict solutions to Maxwell's equations and compute gradients of output fields with respect to the material and geometric ...

AIP Publishing2023

Single-Pixel Photoacoustic Microscopy with Speckle Illumination

Demetri Psaltis, Christophe Moser, Nicolino Stasio

Caravaca-Aguirre et al.Wide-field optical-resolution microscopy with structured illumination and single-pixel detection has been the topic of a number of research investigations. Its advantages over point scanning approaches are many and include a faster a ...

2023

Loss Minimized Data Reduction in Single-Cell Tomographic Phase Microscopy Using 3D Zernike Descriptors

Demetri Psaltis, Ahmed Bassam Sayed Ayoub Mohamed Emam

Tomographic phase microscopy (TPM) in flow cytometry is one of the most promising computational imaging techniques for the quantitative 3-dimensional (3D) analysis of unstained single cells. Continuous cells' flow, combined with the stain-free mode, can as ...

AMER ASSOC ADVANCEMENT SCIENCE2023

From 3D to 2D and back again

Demetri Psaltis, Christophe Moser, Jorge Andres Madrid Wolff, Carlo Gigli, Niyazi Ulas Dinç, Antoine Vincent Boniface, Amirhossein Saba Shirvan

The prospect of massive parallelism of optics enabling fast and low energy cost operations is attracting interest for novel photonic circuits where 3-dimensional (3D) implementations have a high potential for scalability. Since the technology for data inpu ...

WALTER DE GRUYTER GMBH2023

Parity-Phase conjugation (PPC) and power eigenchannels in non-Hermitian fibers

Demetri Psaltis

By introducing the concepts of Parity-Phase conjugation and power eigenchannels, we show that perfect phase conjugation is possible in a single non-Hermitian multimode fiber, and determine the optimal initial conditions for maximum amplification. ...

Optical Society of America2023

Gas generating membrane-less electrolyser

Demetri Psaltis, Pooria Hadikhani, Steven Alexandre Schenk

Electrolyser including a reactor (2) comprising a housing (4), fluidic channels (6a, 6b, 6c) within the housing, and electrodes (16a, 16c) comprising an anode (16a) and a cathode (16c). The fluidic channels include an inter-electrode channel (6b) arranged ...

2023

Beyond fluorescence: advances in computational label- free full specificity in 3D quantitative phase microscopy

Demetri Psaltis

Despite remarkable progresses in quantitative phase imaging (QPI) microscopes, their wide acceptance is limited due to the lack of specificity compared with the well-established fluorescence microscopy. In fact, the absence of fluorescent tag prevents to i ...

Elsevier Sci Ltd2023

Forward-forward training of an optical neural network

Demetri Psaltis, Christophe Moser, Niyazi Ulas Dinç

Neural networks (NNs) have demonstrated remarkable capabilities in various tasks, but their computation-intensive nature demands faster and more energy-efficient hardware implementations. Optics-based platforms, using technologies such as silicon photonics ...

Optica Publishing Group2023

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