Publications de Eirini Kakkava

Improved two-photon polymerization through an optical fiber using coherent beam shaping

Demetri Psaltis, Christophe Moser, Eirini Kakkava, Georgia Konstantinou, Antoine Vincent Boniface

The state of the art for high resolution three-dimensional light-based additive manufacturing mainly relies on two-photon polymerization. It consists of focusing and scanning a femtosecond laser beam on a photosensitive resin to initiate crosslinking and f ...

ELSEVIER SCI LTD2023

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

Spatial self-beam cleaning in spatiotemporally mode-locked fiber lasers

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

IEEE2021

Full characterization of partially measured systems with neural networks

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

IEEE2021

Learning to See and Compute through Multimode Fibers

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

We propose a computational method for controlling the output of a multimode fiber using machine learning. Arbitrary images can be projected with amplitude-only calibration (no phase measurement) and fidelities on par with conventional full-measurement meth ...

IEEE2021

High-resolution microfabrication through a graded-index multimode optical fiber

Demetri Psaltis, Christophe Moser, Damien Claude-Marie Loterie, Eirini Kakkava, Georgia Konstantinou

IEEE2021

Predicting optical transmission through complex scattering media from reflection patterns with deep neural networks

Demetri Psaltis, Eirini Kakkava

Deep neural networks (DNNs) are used to reconstruct transmission speckle intensity patterns from the respective reflection speckle intensity patterns generated by illuminated parafilm layers. The dependence of the reconstruction accuracy on the thickness o ...

2021

Deep Learning-Based Image Classification through a Multimode Fiber in the Presence of Wavelength Drift

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

Deep neural networks (DNNs) are employed to recover information after its propagation through a multimode fiber (MMF) in the presence of wavelength drift. The intensity distribution of the speckle patterns generated at the output of an MMF when an input wa ...

2020

Computer generated optical volume elements by additive manufacturing

Demetri Psaltis, Christophe Moser, Eirini Kakkava, Joowon Lim, Niyazi Ulas Dinç

Computer generated optical volume elements have been investigated for information storage, spectral filtering, and imaging applications. Advancements in additive manufacturing (3D printing) allow the fabrication of multilayered diffractive volume elements ...

2020

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

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

Spatiotemporal nonlinear interactions in multimode fibers are of interest for beam shaping and frequency conversion by exploiting the nonlinear interaction of different pump modes from quasi-continuous wave to ultrashort pulses centered around visible to i ...

2020

All-fiber spatiotemporally mode-locked laser with multimode fiber-based filtering

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

We demonstrate the first all-fiber multimode spatiotemporally mode-locked laser. The oscillator generates dissipative soliton pulses at 1036 nm with 12 mW average power, 6.24 ps duration, and 24.3 MHz repetition rate. The reported pulse energy (0.5 nJ) rep ...

2020

Additive micro-manufacturing of crack-free PDCs by two-photon polymerization of a single, low-shrinkage preceramic resin

Helena Van Swygenhoven, Jürgen Brugger, Demetri Psaltis, Christophe Moser, Nikolaos Nianias, Eirini Kakkava, Georgia Konstantinou, Lorenz Hagelüken, Jieping Wang

Additive manufacturing (AM) methods are being integrated in ceramics fabrication either as the main manufacturing tool or for auxiliary purposes. By using polymers, powders and preceramic formulated materials, AM techniques are pushing towards higher resol ...

2020

Supplementary file: Single mode output by controlling the spatiotemporal nonlinearities in mode-locked femtosecond multimode fiber lasers

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

SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS2020

Wavefront shaping and deep learning in fiber endoscopy

Eirini Kakkava

Fiber endoscopy plays an important role in the clinical diagnosis and treatment processes involved in modern medicine. Thin fiber probes can relay information from confined places in the human body that are inaccessible for conventional bulky microscopes. ...

EPFL2020

Dispersion-Managed Soliton Multimode Fiber Laser

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

We demonstrate, to the best of our knowledge, the first spatiotemporally mode-locked dispersion-managed fiber laser. The fiber oscillator, which includes a 250 modes multimode fiber section, generates 20 nJ pulses centered at 1034 nm with 730 mW average po ...

IEEE2020

In Vitro Cytocompatibility Assessment of Ti-Modified, Silicon-oxycarbide-Based, Polymer-Derived, Ceramic-Implantable Electrodes under Pacing Conditions

Jürgen Brugger, Demetri Psaltis, Eirini Kakkava, Giulia Panusa, Jongmoon Jang, Pierrick Guy Robert Clément

Polymer-derived ceramics (PDC) have recently gained increased interest in the field of bioceramics. Among PDC's, carbon-rich silicon oxycarbide ceramics (SiOC) possess good combined electrical and mechanical properties. Their durability in aggressive envir ...

AMER CHEMICAL SOC2020

Actor neural networks for the robust control of partially measured nonlinear systems showcased for image propagation through diffuse media

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

The output of physical systems, such as the scrambled pattern formed by shining the spot of a laser pointer through fog, is often easily accessible by direct measurements. However, selection of the input of such a system to obtain a desired output is diffi ...

SPRINGERNATURE2020

Two-photon imaging and selective laser ablation of Cochlea hair cells through a multimode fiber probe

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

We demonstrate multimode fiber probe that accomodates dual modality properties for high power ultrashort pulse delivery. A commercially available multimode graded-index (GRIN) fiber is used for two-photon imaging and/or femtosecond laser ablation of Cochle ...

SPIE-INT SOC OPTICAL ENGINEERING2019

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

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