2.6k citations · 9.9k across the 41 of their papers we have counts for
41 papers
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
Cagatay Isil, Hatice Ceylan Koydemir, Merve Eryilmaz +8
Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, an…
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian +72
Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
Bijie Bai, Hongda Wang, Yuzhu Li +14
The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagn…
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…
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks
Deniz Mengu, Muhammed Veli, Yair Rivenson +1
Diffractive optical networks unify wave optics and deep learning to all-optically compute a given machine learning or computational imaging task as the light propagates from the in…
Computational Imaging Without a Computer: Seeing Through Random Diffusers at the Speed of Light
Yi Luo, Yifan Zhao, Jingxi Li +4
Imaging through diffusers presents a challenging problem with various digital image reconstruction solutions demonstrated to date using computers. We present a computer-free, all-o…
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data
Yijie Zhang, Tairan Liu, Manmohan Singh +4
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedical imaging modality that can rapidly provide volumetric images of samples. Here, we present a deep learning…
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks
Luzhe Huang, Tairan Liu, Xilin Yang +3
Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important st…
Deep learning-based virtual refocusing of images using an engineered point-spread function
Xilin Yang, Luzhe Huang, Yilin Luo +4
We present a virtual image refocusing method over an extended depth of field (DOF) enabled by cascaded neural networks and a double-helix point-spread function (DH-PSF). This netwo…
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…
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…
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-…
Ensemble learning of diffractive optical networks
Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu +2
A plethora of research advances have emerged in the fields of optics and photonics that benefit from harnessing the power of machine learning. Specifically, there has been a reviva…
Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan, Yijie Zhang, Jonathan E. Zuckerman +11
Pathology is practiced by visual inspection of histochemically stained slides. Most commonly, the hematoxylin and eosin (H&E) stain is used in the diagnostic workflow and it is the…
All-Optical Information Processing Capacity of Diffractive Surfaces
Onur Kulce, Deniz Mengu, Yair Rivenson +1
Precise engineering of materials and surfaces has been at the heart of some of the recent advances in optics and photonics. These advances around the engineering of materials with…
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…
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…
Misalignment Resilient Diffractive Optical Networks
Deniz Mengu, Yifan Zhao, Nezih T. Yardimci +3
As an optical machine learning framework, Diffractive Deep Neural Networks (D2NN) take advantage of data-driven training methods used in deep learning to devise light-matter intera…
Spectrally-Encoded Single-Pixel Machine Vision Using Diffractive Networks
Jingxi Li, Deniz Mengu, Nezih T. Yardimci +6
3D engineering of matter has opened up new avenues for designing systems that can perform various computational tasks through light-matter interaction. Here, we demonstrate the des…
Single-shot autofocusing of microscopy images using deep learning
Yilin Luo, Luzhe Huang, Yair Rivenson +1
We demonstrate a deep learning-based offline autofocusing method, termed Deep-R, that is trained to rapidly and blindly autofocus a single-shot microscopy image of a specimen that…
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning
Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu +8
We present a computational live bacteria detection system that periodically captures coherent microscopy images of bacterial growth inside a 60 mm diameter agar-plate and analyzes…
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue
Yijie Zhang, Kevin de Haan, Yair Rivenson +3
Histological staining is a vital step used to diagnose various diseases and has been used for more than a century to provide contrast to tissue sections, rendering the tissue const…
Automated screening of sickle cells using a smartphone-based microscope and deep learning
Kevin de Haan, Hatice Ceylan Koydemir, Yair Rivenson +8
Sickle cell disease (SCD) is a major public health priority throughout much of the world, affecting millions of people. In many regions, particularly those in resource-limited sett…
Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks
Yi Luo, Deniz Mengu, Nezih T. Yardimci +4
We report a broadband diffractive optical neural network design that simultaneously processes a continuum of wavelengths generated by a temporally-incoherent broadband source to al…