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20172024
most citedPhase recovery and holographic image reconstruction using deep learning in neural networks

1.1k citations · 2k across the 6 of their papers we have counts for

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physics.optics2021

All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces

Onur Kulce, Deniz Mengu, Yair Rivenson +1

We report the design of diffractive surfaces to all-optically perform arbitrary complex-valued linear transformations between an input (N_i) and output (N_o), where N_i and N_o rep…

physics.optics202089 cited

Neural network-based on-chip spectroscopy using a scalable plasmonic encoder

Calvin Brown, Artem Goncharov, Zachary Ballard +5

Conventional spectrometers are limited by trade-offs set by size, cost, signal-to-noise ratio (SNR), and spectral resolution. Here, we demonstrate a deep learning-based spectral re…

physics.optics2020

Scale-, shift- and rotation-invariant diffractive optical networks

Deniz Mengu, Yair Rivenson, Aydogan Ozcan

Recent research efforts in optical computing have gravitated towards developing optical neural networks that aim to benefit from the processing speed and parallelism of optics/phot…

physics.optics2020

Recurrent neural network-based volumetric fluorescence microscopy

Luzhe Huang, Yilin Luo, Yair Rivenson +1

Volumetric imaging of samples using fluorescence microscopy plays an important role in various fields including physical, medical and life sciences. Here we report a deep learning-…

physics.optics2020

Deep learning-based holographic polarization microscopy

Tairan Liu, Kevin de Haan, Bijie Bai +8

Polarized light microscopy provides high contrast to birefringent specimen and is widely used as a diagnostic tool in pathology. However, polarization microscopy systems typically…

physics.optics2020

Terahertz Pulse Shaping Using Diffractive Surfaces

Muhammed Veli, Deniz Mengu, Nezih T. Yardimci +5

Recent advances in deep learning have been providing non-intuitive solutions to various inverse problems in optics. At the intersection of machine learning and optics, diffractive…