Publications by Eirini Kakkava

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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 ...

Polymer derived SiOC and SiCN ceramics (PDCs) are interesting candidates for additive manufacturing techniques to develop micro sized ceramics with the highest precision. PDCs are obtained by the pyrolysis of crosslinked polymer precursors at elevated temp ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 ...

We demonstrate high power ultrashort pulse delivery through a commercially available multicore fiber (MCF) and a multimode graded-index fiber (GRINF) for imaging and laser ablation. Lensless focusing and digital scanning of ultrashort pulses through the op ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Eirini Kakkava

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

Polymer derived silicon oxycarbide ceramic monoliths: Microstructure development and associated materials properties

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

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

Wavefront shaping and deep learning in fiber endoscopy

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

Computer generated optical volume elements by additive manufacturing

Learning to See and Compute through Multimode Fibers

Wavefront shaping for ultrashort pulse delivery through optical fibers for imaging and ablation

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

Dispersion-Managed Soliton Multimode Fiber Laser

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

Controlling spatiotemporal nonlinearities in multimode fibers with deep neural networks

Deep Neural Networks for seeing through multimode fibers

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

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

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

Spatiotemporal self-similar fiber laser

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

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