106 citations · 539 across the 18 of their papers we have counts for
18 papers
PRISM: Distribution-Gated Flow Matching for Controllable Unpaired Image Translation
Elad Yoshai, Natan T. Shaked
Unpaired image-to-image translation must decide, per image, what to change and what to preserve without paired supervision. Many diffusion-based unpaired translators control preser…
CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution
Elad Yoshai, Ariel D. Yoshai, Natan T. Shaked
In digital pathology, whole-slide images routinely exceed gigapixel resolution, making computationally intensive generative super-resolution (SR) impractical for routine deployment…
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells
Elad Yoshai, Dana Yagoda-Aharoni, Eden Dotan +1
We present SparseAttnNet, a new hierarchical attention-driven framework for efficient image classification that adaptively selects and processes only the most informative pixels fr…
Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention
Elad Yoshai, Gil Goldinger, Miki Haifler +1
In histological pathology, frozen sections are often used for rapid diagnosis during surgeries, as they can be produced within minutes. However, they suffer from artifacts and ofte…
Super resolution of histopathological frozen sections via deep learning preserving tissue structure
Elad Yoshai, Gil Goldinger, Miki Haifler +1
Histopathology plays a pivotal role in medical diagnostics. In contrast to preparing permanent sections for histopathology, a time-consuming process, preparing frozen sections is s…
Real-time stain-free classification of cancer cells and blood cells using interferometric phase microscopy and machine learning
Noga Nissim, Matan Dudaie, Itay Barnea. +1
We present a method for a real time visualization and automatic processing for detection and classification of untouched cancer cells in blood during stain free imaging flow cytome…
High-resolution 4D acquisition of freely swimming human sperm cells without staining
Gili Dardikman-Yoffe, Simcha K. Mirsky, Itay Barnea +1
We present a new acquisition method that enables high-resolution, fine-detail full reconstruction of the three-dimensional movement and structure of individual human sperm cells sw…
HoloStain: Holographic virtual staining of individual biological cells
Yoav N. Nygate, Mattan Levi, Simcha K. Mirsky +6
Many medical and biological protocols for analyzing individual biological cells involve morphological evaluation based on cell staining, designed to enhance imaging contrast and en…
Integral refractive index imaging of flowing cell nuclei using quantitative phase microscopy combined with fluorescence microscopy
Gili Dardikman, Yoav N. Nygate, Itay Barnea +4
We suggest a new multimodal imaging technique for quantitatively measuring the integral (thickness-average) refractive index of the nuclei of live biological cells in suspension. F…
Four dimensional phase unwrapping of dynamic objects in digital holography
Gili Dardikman, Gyanendra Singh, Natan T. Shaked
We present a new four-dimensional phase unwrapping approach for time-lapse quantitative phase microscopy, which allows reconstruction of optically thick objects that are optically…
Review on methods of solving the refractive index-thickness coupling problem in digital holographic microscopy of biological cells
Gili Dardikman, Natan T. Shaked
Digital holographic microscopy is a thriving imaging modality that attracted considerable research interest in quantitative biological cell imaging due to its ability to not only c…
Simultaneous off-axis multiplexed holography and regular fluorescence microscopy of biological cells
Yoav N. Nygate, Gyanendra Singh, Itay Barnea +1
We present a new technique for obtaining simultaneous multimodal quantitative phase and fluorescence microscopy of biological cells, providing both quantitative phase imaging and m…
Six-pack off-axis holography
Moran Rubin, Gili Dardikman, Simcha K. Mirsky +2
We present a new holographic concept, named six-pack holography (6PH), in which we compress six off-axis holograms into a single multiplexed off-axis hologram without loss of magni…
Simultanous two-wavelength phase unwrapping using external module for multiplexing off-axis holography
Nir A. Turko, Natan T. Shaked
We present a dual-wavelength external holographic microscopy module for quantitative phase imaging of 3D structures with extended thickness range. This is done by simultaneous acqu…
Is multiplexed off-axis holography for quantitative phase imaging more spatial bandwidth-efficient than on-axis holography?
Gili Dardikman, Natan T. Shaked
Digital holographic microcopy is a thriving imaging modality that attracts considerable research interest due to its ability to not only create excellent label-free contrast, but a…
Single-exposure full-field multi-depth imaging using low-coherence holographic multiplexing
Lauren Wolbromsky, Nir A. Turko, Natan T. Shaked
We present a new interferometric imaging approach that allows for multiple-depth imaging in a single acquisition, using off-axis low-coherence holographic multiplexing. This techni…
Simultaneous three-wavelength unwrapping using external digital holographic multiplexing module
Nir A. Turko, Pinkie Jacob Eravuchira, Itay Barnea +1
We present an external interferometric setup that is able to simultaneously acquire three wavelengths of the same sample instance without scanning or multiple exposures. This setup…
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set
Moran Rubin, Omer Stein, Nir A. Turko +6
We propose a new deep learning approach for medical imaging that copes with the problem of a small training set, the main bottleneck of deep learning, and apply it for classificati…