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Demetri Psaltis

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Related publications (271)

Imaging through multimode fibers using deep learning: The effects of intensity versus holographic recording of the speckle pattern

Navid Borhani, Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Eirini Kakkava, Georgia Konstantinou, Ugur Tegin

Information transmission through multimode fibers (MMFs) has been a topic of great interest for many years. Deep learning algorithms have been applied successfully to MMFs in particular to fiber endoscopy. In this work, we show how Deep Neural Networks (DN ...

2019

Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy

Navid Borhani, Demetri Psaltis

Deep neural networks have been used to map multi-modal, multi-photon microscopy measurements of a label-free tissue sample to its corresponding histologically stained brightfield microscope colour image. It is shown that the extra structural and functional ...

2019

Photoinitiator-free multi-photon fabrication of compact optical waveguides in polydimethylsiloxane

Demetri Psaltis, Christophe Moser, Ye Pu, Giulia Panusa, Jieping Wang

Compact, low loss flexible optical waveguides are crucial in optofluidic and microfluidic devices for a dense integration of optical functionalities. We demonstrate the fabrication of compact optical waveguides in polydimethylsiloxane through multiphoton l ...

2019

Solar-Electrochemical Platforms for Sodium Hypochlorite Generation in Developing Countries

Demetri Psaltis, Christophe Moser, Seyyed Mohammad Hosseini Hashemi, Enrico Chinello

On-site generation of sodium hypochlorite (NaClO) holds the potential to bring an efficient and cost-effective water disinfection method to isolated and remote locations. Solar-driven, stand-alone reactors could provide those communities full independence ...

ELECTROCHEMICAL SOC INC2019

Learning from droplet flows in microfluidic channels using deep neural networks

Demetri Psaltis, Seyyed Mohammad Hosseini Hashemi, Pooria Hadikhani

A non-intrusive method is presented for measuring different fluidic properties in a microfluidic chip by optically monitoring the flow of droplets. A neural network is used to extract the desired information from the images of the droplets. We demonstrate ...

Nature Research2019

Selective femtosecond laser ablation via two-photon fluorescence imaging through a multimode fiber

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Donald Benjaman Conkey, Marilisa Romito, Eirini Kakkava

We demonstrate the ability of a multimode fiber probe to provide two-photon fluorescence (TPF) imaging feedback that guides the femtosecond laser ablation (FLA) in biological samples for highly selective modifications. We implement the system through the p ...

OPTICAL SOC AMER2019

A versatile and membrane-less electrochemical reactor for the electrolysis of water and brine

Demetri Psaltis, Christophe Moser, Pooria Hadikhani, Enrico Chinello

Renewables challenge the management of energy supply and demand due to their intermittency. A promising solution is the direct conversion of the excess electrical energy into valuable chemicals in electrochemical reactors that are inexpensive, scalable, an ...

2019

Deep Neural Networks for seeing through multimode fibers

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

Image delivery through multimode fibers (MMFs) suffers from modal scrambling which results in a speckle pattern at the fiber output. In this work, we use Deep Neural Networks (DNNs) for recovery and/or classification of the input image from the intensity-o ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Raman imaging through multimode sapphire fiber

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Georgia Konstantinou, Sunan Deng

We report on a sapphire fiber Raman imaging probe's use for challenging applications where access is severely restricted. Small-dimension Raman probes have been developed previously for various clinical applications because they show great capability for d ...

OPTICAL SOC AMER2019

High-fidelity optical diffraction tomography of multiple scattering samples

Demetri Psaltis, Ahmed Ayoub, Joowon Lim, Elizabeth Elena Antoine

We propose an iterative reconstruction scheme for optical diffraction tomography that exploits the split-step nonparaxial (SSNP) method as the forward model in a learning tomography scheme. Compared with the beam propagation method (BPM) previously used in ...

Springer2019

Spatiotemporal self-similar fiber laser

Demetri Psaltis, Christophe Moser, Babak Rahmani, Eirini Kakkava, Ugur Tegin

Spatiotemporal mode-locked fiber lasers are a type of ultrafast lasers for which the longitudinal and transverse modes of the multimode fiber cavities are locked via nonlinear interaction in the cavity. Here we report the experimental realization of a spat ...

2019

Imaging hair cells through laser-ablated cochlear bone

Demetri Psaltis, Ye Pu, Marilisa Romito

We report an innovative technique for the visualization of cells through an overlying scattering medium by combining femtosecond laser bone ablation and two-photon excitation fluorescence (TPEF) microscopy. We demonstrate the technique by imaging hair cell ...

2019

Inertial manipulation of bubbles in rectangular microfluidic channels

Demetri Psaltis, Gioele Mariano Nicolò Balestra, François Gallaire, Seyyed Mohammad Hosseini Hashemi, Miguel Antonio Modestino, Lailai Zhu, Pooria Hadikhani

Inertial microfluidics is an active field of research that deals with crossflow positioning of the suspended entities in microflows. Until now, the majority of the studies have focused on the behavior of rigid particles in order to provide guidelines for m ...

2018

Learning Tomography Assessed Using Mie Theory

Michaël Unser, Demetri Psaltis, Joowon Lim

In optical diffraction tomography, the multiply scattered field is a nonlinear function of the refractive index (RI) of the object. The Rytov method relies on a single-scattering propagation model and is commonly used to reconstruct images. Recently, a rec ...

American Physical Society (APS)2018

Multimode optical fiber transmission with a deep learning network

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Babak Rahmani, Georgia Konstantinou

Multimode fibers (MMFs) are an example of a highly scattering medium, which scramble the coherent light propagating within them to produce seemingly random patterns. Thus, for applications such as imaging and image projection through an MMF, careful measur ...

CHINESE ACAD SCIENCES, CHANGCHUN INST OPTICS FINE MECHANICS AND PHYSICS2018

Learning to see through multimode fibers

Navid Borhani, Demetri Psaltis, Christophe Moser, Eirini Kakkava

2018

Single-photon three-dimensional microfabrication through a multimode optical fiber

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Paul Delrot

2018

Versatile reconstruction framework for diffraction tomography with intensity measurements and multiple scattering

Michaël Unser, Demetri Psaltis, Thanh-An Michel Pham, Ferréol Arnaud Marie Soulez, Joowon Lim, Emmanuel Emilien Louis Soubies

2018

Tomographic imaging with harmonic holography in tissues of known refractive index distribution

Demetri Psaltis, Ye Pu

High-resolution imaging in thick biological tissues beyond a few transport mean free path of photons remains a formidable challenge to modern science and technology. Recent advancements in optical tomography have enabled the reconstruction of the three-dim ...

SPIE-INT SOC OPTICAL ENGINEERING2018

Imaging complex objects using learning tomography

Michaël Unser, Alexandre Goy, Demetri Psaltis, Morteza Hasani Shoreh, Joowon Lim

Optical diffraction tomography (ODT) can be described using the scattering process through an inhomogeneous media. An inherent nonlinearity exists relating the scattering medium and the scattered field due to multiple scattering. Multiple scattering is oft ...

SPIE-INT SOC OPTICAL ENGINEERING2018

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