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09/17/2023
All-optical image denoising using a diffractive visual processor
Image denoising, one of the essential inverse problems, targets to remov...
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08/29/2023
Pyramid diffractive optical networks for unidirectional magnification and demagnification
Diffractive deep neural networks (D2NNs) are composed of successive tran...
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08/05/2023
Multispectral Quantitative Phase Imaging Using a Diffractive Optical Network
As a label-free imaging technique, quantitative phase imaging (QPI) prov...
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08/02/2023
Virtual histological staining of unlabeled autopsy tissue
Histological examination is a crucial step in an autopsy; however, the t...
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05/22/2023
Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems
Uncertainty estimation is critical for numerous applications of deep neu...
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04/20/2023
Learning Diffractive Optical Communication Around Arbitrary Opaque Occlusions
Free-space optical systems are emerging for high data rate communication...
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04/12/2023
Universal Polarization Transformations: Spatial programming of polarization scattering matrices using a deep learning-designed diffractive polarization transformer
We demonstrate universal polarization transformers based on an engineere...
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03/23/2023
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors
Under spatially-coherent light, a diffractive optical network composed o...
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01/09/2023
eFIN: Enhanced Fourier Imager Network for generalizable autofocusing and pixel super-resolution in holographic imaging
The application of deep learning techniques has greatly enhanced hologra...
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12/25/2022
Data class-specific all-optical transformations and encryption
Diffractive optical networks provide rich opportunities for visual compu...
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12/10/2022
Snapshot Multispectral Imaging Using a Diffractive Optical Network
Multispectral imaging has been used for numerous applications in e.g., e...
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12/05/2022
Unidirectional Imaging using Deep Learning-Designed Materials
A unidirectional imager would only permit image formation along one dire...
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11/13/2022
Deep Learning-enabled Virtual Histological Staining of Biological Samples
Histological staining is the gold standard for tissue examination in cli...
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09/17/2022
GedankenNet: Self-supervised learning of hologram reconstruction using physics consistency
The past decade has witnessed transformative applications of deep learni...
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08/30/2022
Virtual impactor-based label-free bio-aerosol detection using holography and deep learning
Exposure to bio-aerosols such as mold spores and pollen can lead to adve...
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08/23/2022
Time-lapse image classification using a diffractive neural network
Diffractive deep neural networks (D2NNs) define an all-optical computing...
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08/13/2022
Massively Parallel Universal Linear Transformations using a Wavelength-Multiplexed Diffractive Optical Network
We report deep learning-based design of a massively parallel broadband d...
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08/08/2022
All-optical image classification through unknown random diffusers using a single-pixel diffractive network
Classification of an object behind a random and unknown scattering mediu...
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07/14/2022
Virtual stain transfer in histology via cascaded deep neural networks
Pathological diagnosis relies on the visual inspection of histologically...
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07/06/2022
Virtual staining of defocused autofluorescence images of unlabeled tissue using deep neural networks
Deep learning-based virtual staining was developed to introduce image co...
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06/30/2022
Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography
Plaque assay is the gold standard method for quantifying the concentrati...
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06/21/2022
Diffractive Interconnects: All-Optical Permutation Operation Using Diffractive Networks
Permutation matrices form an important computational building block freq...
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06/15/2022
Super-resolution image display using diffractive decoders
High-resolution synthesis/projection of images over a large field-of-vie...
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05/26/2022
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects
Privacy protection is a growing concern in the digital era, with machine...
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05/07/2022
Deep Learning-enabled Detection and Classification of Bacterial Colonies using a Thin Film Transistor (TFT) Image Sensor
Early detection and identification of pathogenic bacteria such as Escher...
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05/01/2022
Analysis of Diffractive Neural Networks for Seeing Through Random Diffusers
Imaging through diffusive media is a challenging problem, where the exis...
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04/22/2022
Fourier Imager Network (FIN): A deep neural network for hologram reconstruction with superior external generalization
Deep learning-based image reconstruction methods have achieved remarkabl...
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03/25/2022
Polarization Multiplexed Diffractive Computing: All-Optical Implementation of a Group of Linear Transformations Through a Polarization-Encoded Diffractive Network
Research on optical computing has recently attracted significant attenti...
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01/27/2022
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network
Deep learning-based methods in computational microscopy have been shown ...
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01/22/2022
Diffractive all-optical computing for quantitative phase imaging
Quantitative phase imaging (QPI) is a label-free computational imaging t...
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12/08/2021
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
The immunohistochemical (IHC) staining of the human epidermal growth fac...
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11/02/2021
Cascadable all-optical NAND gates using diffractive networks
Owing to its potential advantages such as scalability, low latency and p...
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08/22/2021
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces
We report the design of diffractive surfaces to all-optically perform ar...
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08/18/2021
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Diffractive optical networks unify wave optics and deep learning to all-...
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03/31/2021
Dynamic imaging and characterization of volatile aerosols in e-cigarette emissions using deep learning-based holographic microscopy
Various volatile aerosols have been associated with adverse health effec...
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03/04/2021
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedi...
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12/22/2020
Deep learning-based virtual refocusing of images using an engineered point-spread function
We present a virtual image refocusing method over an extended depth of f...
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12/01/2020
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder
Conventional spectrometers are limited by trade-offs set by size, cost, ...
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10/24/2020
Scale-, shift- and rotation-invariant diffractive optical networks
Recent research efforts in optical computing have gravitated towards dev...
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10/21/2020
Recurrent neural network-based volumetric fluorescence microscopy
Volumetric imaging of samples using fluorescence microscopy plays an imp...
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09/15/2020
Ensemble learning of diffractive optical networks
A plethora of research advances have emerged in the fields of optics and...
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08/20/2020
Deep learning-based transformation of the H E stain into special stains improves kidney disease diagnosis
Pathology is practiced by visual inspection of histochemically stained s...
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07/25/2020
All-Optical Information Processing Capacity of Diffractive Surfaces
Precise engineering of materials and surfaces has been at the heart of s...
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07/01/2020
Deep learning-based holographic polarization microscopy
Polarized light microscopy provides high contrast to birefringent specim...
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06/30/2020
Terahertz Pulse Shaping Using Diffractive Legos
Recent advances in deep learning have been providing non-intuitive solut...
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05/23/2020
Misalignment Resilient Diffractive Optical Networks
As an optical machine learning framework, Diffractive Deep Neural Networ...
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05/15/2020
Machine Vision using Diffractive Spectral Encoding
Machine vision systems mostly rely on lens-based optical imaging archite...
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03/21/2020
Single-shot autofocusing of microscopy images using deep learning
We demonstrate a deep learning-based offline autofocusing method, termed...
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01/29/2020
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
We present a computational live bacteria detection system that periodica...
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01/20/2020