106 citations · 294 across the 7 of their papers we have counts for
7 papers
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…
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…
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…