Search Results - "Barbastathis, George"
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On the use of deep learning for computational imaging
Published in Optica (20-08-2019)Get full text
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Low Photon Count Phase Retrieval Using Deep Learning
Published in Physical review letters (14-12-2018)“…Imaging systems' performance at low light intensity is affected by shot noise, which becomes increasingly strong as the power of the light source decreases. In…”
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Lensless computational imaging through deep learning
Published in Optica (20-09-2017)“…Deep learning has been proven to yield reliably generalizable solutions to numerous classification and decision tasks. Here, we demonstrate for the first time…”
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Macroscopic invisibility cloak for visible light
Published in Physical review letters (18-01-2011)“…Invisibility cloaks, a subject that usually occurs in science fiction and myths, have attracted wide interest recently because of their possible realization…”
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Spectral pre-modulation of training examples enhances the spatial resolution of the phase extraction neural network (PhENN)
Published in Optics express (29-10-2018)“…The phase extraction neural network (PhENN) [Optica 4, 1117 (2017)] is a computational architecture, based on deep machine learning, for lens-less quantitative…”
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Imaging through glass diffusers using densely connected convolutional networks
Published in Optica (20-07-2018)“…Computational imaging through scatter generally is accomplished by first characterizing the scattering medium so that its forward operator is obtained and then…”
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The transport of intensity equation for optical path length recovery using partially coherent illumination
Published in Optics express (17-06-2013)“…We investigate the measurement of a thin sample's optical thickness using the transport of intensity equation (TIE) and demonstrate a version of the TIE, valid…”
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Roadmap on digital holography [Invited]
Published in Optics express (25-10-2021)“…This Roadmap article on digital holography provides an overview of a vast array of research activities in the field of digital holography. The paper consists…”
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High-resolution limited-angle phase tomography of dense layered objects using deep neural networks
Published in Proceedings of the National Academy of Sciences - PNAS (01-10-2019)“…We present a machine learning-based method for tomographic reconstruction of dense layered objects, with range of projection angles limited to ±10°. Whereas…”
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Deep-prior ODEs augment fluorescence imaging with chemical sensors
Published in Nature communications (24-10-2024)“…To study biological signalling, great effort goes into designing sensors whose fluorescence follows the concentration of chemical messengers as closely as…”
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Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views
Published in Light, science & applications (07-04-2021)“…Limited-angle tomography of an interior volume is a challenging, highly ill-posed problem with practical implications in medical and biological imaging,…”
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Reconfigurable and responsive droplet-based compound micro-lenses
Published in Nature communications (07-03-2017)“…Micro-scale optical components play a crucial role in imaging and display technology, biosensing, beam shaping, optical switching, wavefront-analysis, and…”
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Low-noise phase imaging by hybrid uniform and structured illumination transport of intensity equation
Published in Optics express (03-11-2014)“…We demonstrate a new approach to the transport of intensity equation (TIE) phase retrieval method which uses structured illumination to improve low-frequency…”
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On the use of deep learning for phase recovery
Published in Light, science & applications (01-01-2024)“…Phase recovery (PR) refers to calculating the phase of the light field from its intensity measurements. As exemplified from quantitative phase imaging and…”
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Transport of intensity phase imaging in a volume holographic microscope
Published in Optics letters (01-09-2010)“…We demonstrate a method for single-shot quantitative phase imaging based on the transport of intensity equation (TIE) in a volume holographic microscope (VHM)…”
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Predicting glaucoma progression using deep learning framework guided by generative algorithm
Published in Scientific reports (15-11-2023)“…Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness. To help patients receive customized treatment, predicting how quickly…”
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Extracting particle size distribution from laser speckle with a physics-enhanced autocorrelation-based estimator (PEACE)
Published in Nature communications (01-03-2023)“…Extracting quantitative information about highly scattering surfaces from an imaging system is challenging because the phase of the scattered light undergoes…”
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Correction: Dynamical machine learning volumetric reconstruction of objects’ interiors from limited angular views
Published in Light, science & applications (03-09-2021)Get full text
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Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time
Published in Light, science & applications (30-05-2023)“…Noninvasive X-ray imaging of nanoscale three-dimensional objects, such as integrated circuits (ICs), generally requires two types of scanning: ptychographic,…”
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Low-Photon Counts Coherent Modulation Imaging via Generalized Alternating Projection Algorithm
Published in Applied sciences (01-11-2022)“…Phase contrast imaging is advantageous for mitigating radiation damage to samples, such as biological specimens. For imaging at nanometer or atomic resolution,…”
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