Publications by Demetri Psaltis

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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 ...

Objective: To enable development of an endoscope for cellular-level optical imaging of the inner ear. Study Design: A prospective study of 50 cadaveric human temporal bones to define detailed surgical anatomy of the round window (RW) region and the range o ...

The development of deployable water-splitting devices is hindered by the cost of electricity and the lack of stable ion conducting membranes that can operate across the pH scale, impose low ionic resistances and avoid product mixing. The membrane-less appr ...

Nematogens rotate by the application of external fields, thereby enabling optical modulation. This principle has had a profound impact on our daily lives through the plethora of liquid-crystal displays in use around us(1,2). However, the wider use of nemat ...

Owing to its excellent elasticity, wide spectral range of transparency, and outstanding chemical and thermal stability, polydimethylsiloxane (PDMS) is an elastomer of great technological importance, being widely used in the fabrication of microfluidic and ...

A multimode waveguide illuminator and imager relies on a wave front shaping system that acts to compensate for modal scrambling and light dispersion by the multimode waveguide. A first step consists of calibrating the multimode waveguide and a second step ...

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 ...

We present near diffraction limited two photon fluorescence (TPF) imaging through a lensless, multi-core fiber (MCF) endoscope utilizing digital phase conjugation. The ultra-small size of MCFs make them desirable tools for imaging deep into the body. TPF i ...

Low-cost and high-resolution on-chip microscopes are vital for reducing cost and improving efficiency for modern biomedicine and bioscience. Despite the needs, the conventional microscope design has proven difficult to miniaturize. Here, we report the impl ...

Plasmonic nanostructures have shown great promise in solar thermal applications. Here we report highly efficient solar vapor generation using hollow-mesoporous plasmonic nanoshells, where the steam production is significantly enhanced by the extended activ ...

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 ...

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 ...

Digital micro-mirror devices (DMDs) have been deployed in many optical applications. As compared to spatial light modulators (SLMs), they are characterized by their much faster refresh rates (full-frame refresh rates up to 32 kHz for binary patterns) compa ...

Artificial intelligence tasks across numerous applications require accelerators for fast and low-power execution. Optical computing systems may be able to meet these domain-specific needs but, despite half a century of research, general-purpose optical com ...

Based on a modified Huygens-Fresnel principle valid in the near field, we analytically verify the exponential wave decay of evanescent waves. This field decay along the propagation direction can be considered as the result of interference between elementar ...

Membrane-less electrolyzers utilize fluidic forces instead of solid barriers for the separation of electrolysis gas products. These electrolyzers have low ionic resistance, a simple design, and the ability to work with electrolytes at different pH values. ...

Multimode optical fibers potentially allow the transmission of larger amounts of information than their single mode counterparts because of their high number of supported modes. However, propagation of a light pulse through a multimode fiber suffers from s ...

We recently described a method for confocal reflection imaging through fibers, as a way to increase contrast when imaging unstained biological specimens. Using a transmission matrix, focused spots can be created at the distal end of a fiber. The backscatte ...

This paper reports an optofluidic architecture which enables reversible trapping, detection and long term storage of spectrally multiplexed semiconductor quantum dot cocktails in electrokinetically active wells ranging in size from 200nm to 5 mu m. Here we ...

Sodium hypochlorite (NaClO) is a chemical commodity widely employed as a disinfection agent in water treatment applications. Its production commonly follows electrochemical routes in an undivided reactor. Powering the process with photovoltaic (PV) electri ...

Demetri Psaltis

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

Surgical Anatomy of the Human Round Window Region: Implication for Cochlear Endoscopy Through the External Auditory Canal

A membrane-less electrolyzer for hydrogen production across the pH scale

Optofluidic modulator based on peristaltic nematogen microflows

Photoinitiator-free Laser Fabrication of Ultra-compact, Low-loss Waveguides in Polydimethylsiloxane

Methods and apparatus for imaging with multimode optical fibers

Predicting nonlinear optical scattering with physics-driven neural networks

Two-photon fluorescence imaging through multicore fiber with digital phase conjugation

Lensless high-resolution on-chip optofluidic microscopes for Caenorhabditis elegans and cell imaging

Efficient Solar-vapor Generation in Hollow-mesoporous Plasmonic Nanoshells

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

Learning from droplet flows in microfluidic channels using deep neural networks

High speed, complex wavefront shaping using the digital micro-mirror device

Inference in artificial intelligence with deep optics and photonics

Huygens-Fresnel diffraction and evanescent waves

A membrane-less electrolyzer with porous walls for high throughput and pure hydrogen production dagger

Delivery of an ultrashort spatially focused pulse to the other end of a multimode fiber using digital phase conjugation

Confocal microscopy via multimode fibers: fluorescence bandwidth

Electroactive micro and nanowells for optofluidic storage

A comparative performance analysis of stand-alone, off-grid solar-powered sodium hypochlorite generators