
-
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...
read it
-
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder
Conventional spectrometers are limited by trade-offs set by size, cost, ...
read it
-
Scale-, shift- and rotation-invariant diffractive optical networks
Recent research efforts in optical computing have gravitated towards dev...
read it
-
Recurrent neural network-based volumetric fluorescence microscopy
Volumetric imaging of samples using fluorescence microscopy plays an imp...
read it
-
Ensemble learning of diffractive optical networks
A plethora of research advances have emerged in the fields of optics and...
read it
-
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...
read it
-
All-Optical Information Processing Capacity of Diffractive Surfaces
Precise engineering of materials and surfaces has been at the heart of s...
read it
-
Deep learning-based holographic polarization microscopy
Polarized light microscopy provides high contrast to birefringent specim...
read it
-
Terahertz Pulse Shaping Using Diffractive Legos
Recent advances in deep learning have been providing non-intuitive solut...
read it
-
Misalignment Resilient Diffractive Optical Networks
As an optical machine learning framework, Diffractive Deep Neural Networ...
read it
-
Machine Vision using Diffractive Spectral Encoding
Machine vision systems mostly rely on lens-based optical imaging archite...
read it
-
Single-shot autofocusing of microscopy images using deep learning
We demonstrate a deep learning-based offline autofocusing method, termed...
read it
-
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...
read it
-
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Histological staining is a vital step used to diagnose various diseases ...
read it
-
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks
We report a broadband diffractive optical neural network design that sim...
read it
-
Deep learning-based color holographic microscopy
We report a framework based on a generative adversarial network (GAN) th...
read it
-
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy
Diffractive deep neural networks have been introduced earlier as an opti...
read it
-
Three-dimensional propagation and time-reversal of fluorescence images
Unlike holography, fluorescence microscopy lacks an image propagation an...
read it
-
Resolution enhancement in scanning electron microscopy using deep learning
We report resolution enhancement in scanning electron microscopy (SEM) i...
read it
-
Cross-modality deep learning brings bright-field microscopy contrast to holography
Deep learning brings bright-field microscopy contrast to holographic ima...
read it
-
Deep learning-based super-resolution in coherent imaging systems
We present a deep learning framework based on a generative adversarial n...
read it
-
Response to Comment on "All-optical machine learning using diffractive deep neural networks"
In their Comment, Wei et al. (arXiv:1809.08360v1 [cs.LG]) claim that our...
read it
-
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Optical machine learning offers advantages in terms of power efficiency,...
read it
-
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning
Using a deep neural network, we demonstrate a digital staining technique...
read it
-
Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction
We discuss recently emerging applications of the state-of-art deep learn...
read it
-
All-Optical Machine Learning Using Diffractive Deep Neural Networks
We introduce an all-optical Diffractive Deep Neural Network (D2NN) archi...
read it
-
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue
Histological analysis of tissue samples is one of the most widely used m...
read it
-
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery
Holography encodes the three dimensional (3D) information of a sample in...
read it
-
Deep learning enhanced mobile-phone microscopy
Mobile-phones have facilitated the creation of field-portable, cost-effe...
read it
-
Deep Learning Microscopy
We demonstrate that a deep neural network can significantly improve opti...
read it
-
Phase recovery and holographic image reconstruction using deep learning in neural networks
Phase recovery from intensity-only measurements forms the heart of coher...
read it