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Demetri Psaltis

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Publications associées (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, Ahmed Ayoub, Carlo Gigli

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

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, Steven Alexandre Schenk, Pooria Hadikhani

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

Optical Diffraction Tomography Using Nearly In-Line Holography with a Broadband LED Source

Demetri Psaltis, Ahmed Ayoub, Abhijit Roy

We present optical tomography methods for a 3D refractive index reconstruction of weakly scattering objects using LED light sources. We are able to record holograms by minimizing the optical path difference between the signal and reference beams while sepa ...

MDPI2022

Membrane-less electrolyzer with porous walls for high throughput and pure hydrogen production

Demetri Psaltis, Seyyed Mohammad Hosseini Hashemi, Steven Alexandre Schenk, Pooria Hadikhani

The present disclosure concerns a membrane-less electrolyzer comprising a first electrode and a second electrode, a first fluidic channel configured to receive an electrolyte, a second fluidic channel configured to receive the electrolyte from the first fl ...

2022

Optical computing and reconfiguring with spatiotemporal nonlinearities in waveguides

Demetri Psaltis, Christophe Moser, Ugur Tegin

A device for optical computing comprises at least one modulator (210, 710, 810, 910, 1010, 1110, 1210, 1310, 1410, 1520, 1610, 1710, 1810, 1910, 2010, 2110, 2210) and at least one waveguide (220, 720, 820, 920, 1020, 1120, 1220, 1320, 1420, 1530, 1620, 172 ...

2022

Photonic waveguide bundles using 3D laser writing and deep neural network image reconstruction

Demetri Psaltis, Giulia Panusa, Niyazi Ulas Dinç

In recent years, three-dimensional (3D) printing with multi-photon laser writing has become an essential tool fur the manufacturing of three-dimensional optical elements. Single-mode optical waveguides are one of the fundamental photonic components, and ar ...

OPTICAL SOC AMER2022

MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations

Demetri Psaltis, Joowon Lim

Maxwell's equations govern light propagation and its interaction with matter. Therefore, the solution of Maxwell's equations using computational electromagnetic simulations plays a critical role in understanding light-matter interaction and designing optic ...

AIP Publishing2022

Learning to image and compute with multimode optical fibers

Demetri Psaltis, Christophe Moser, Babak Rahmani, Ugur Tegin

Multimode fibers (MMF) were initially developed to transmit digital information encoded in the time domain. There were few attempts in the late 60s and 70s to transmit analog images through MMF. With the availability of digital spatial modulators, practica ...

WALTER DE GRUYTER GMBH2022

Multicore fiber endoscope for phase imaging based on intensity recording using deep neural networks

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

The present invention is related to an endoscopic system for phase imaging, comprising a multicore waveguide (080), an optical system comprising at least one first light source (002), for illuminating the sample to be examined, a first camera (010) that is ...

2022

Physics-informed neural networks for diffraction tomography

Demetri Psaltis, Ahmed Ayoub, Carlo Gigli, Amirhossein Saba Shirvan

We propose a physics-informed neural network (PINN) as the forward model for tomographic reconstructions of biological samples. We demonstrate that by training this network with the Helmholtz equation as a physical loss, we can predict the scattered field ...

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS2022

Stain-free identification of cell nuclei using tomographic phase microscopy in flow cytometry

Demetri Psaltis, Joowon Lim, Daniele Pirone

The accurate identification of the three-dimensional quantitative shape of a cell nucleus is now possible without fluorescent staining by applying computational segmentation to refractive index tomograms recorded in the flow cytometry mode. ...

Nature Publishing Group2022

Roadmap on wavefront shaping and deep imaging in complex media

Demetri Psaltis, Christophe Moser, Babak Rahmani

The last decade has seen the development of a wide set of tools, such as wavefront shaping, computational or fundamental methods, that allow us to understand and control light propagation in a complex medium, such as biological tissues or multimode fibers. ...

IOP Publishing Ltd2022

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