Search Results - "Barbastathis, George"

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    Low Photon Count Phase Retrieval Using Deep Learning by Goy, Alexandre, Arthur, Kwabena, Li, Shuai, Barbastathis, George

    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 by Sinha, Ayan, Lee, Justin, Li, Shuai, Barbastathis, George

    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 by Zhang, Baile, Luo, Yuan, Liu, Xiaogang, Barbastathis, George

    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) by Li, Shuai, Barbastathis, George

    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 by Li, Shuai, Deng, Mo, Lee, Justin, Sinha, Ayan, Barbastathis, George

    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 by Petruccelli, Jonathan C, Tian, Lei, Barbastathis, George

    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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    High-resolution limited-angle phase tomography of dense layered objects using deep neural networks by Goy, Alexandre, Rughoobur, Girish, Li, Shuai, Arthur, Kwabena, Akinwande, Akintunde I., Barbastathis, George

    “…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 by Pham, Thanh-an, Boquet-Pujadas, Aleix, Mondal, Sandip, Unser, Michael, Barbastathis, George

    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 by Kang, Iksung, Goy, Alexandre, Barbastathis, George

    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 by Nagelberg, Sara, Zarzar, Lauren D., Nicolas, Natalie, Subramanian, Kaushikaram, Kalow, Julia A., Sresht, Vishnu, Blankschtein, Daniel, Barbastathis, George, Kreysing, Moritz, Swager, Timothy M., Kolle, Mathias

    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 by Zhu, Yunhui, Shanker, Aamod, Tian, Lei, Waller, Laura, Barbastathis, George

    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 by Wang, Kaiqiang, Song, Li, Wang, Chutian, Ren, Zhenbo, Zhao, Guangyuan, Dou, Jiazhen, Di, Jianglei, Barbastathis, George, Zhou, Renjie, Zhao, Jianlin, Lam, Edmund Y.

    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 by Waller, Laura, Luo, Yuan, Yang, Se Young, Barbastathis, George

    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 by Hussain, Shaista, Chua, Jacqueline, Wong, Damon, Lo, Justin, Kadziauskiene, Aiste, Asoklis, Rimvydas, Barbastathis, George, Schmetterer, Leopold, Yong, Liu

    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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    Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time by Kang, Iksung, Wu, Ziling, Jiang, Yi, Yao, Yudong, Deng, Junjing, Klug, Jeffrey, Vogt, Stefan, Barbastathis, George

    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 by Sun, Meng, Liu, Tao, Barbastathis, George, Qi, Yincheng, Zhang, Fucai

    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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