Zobrazeno 1 - 10
of 119
pro vyhledávání: '"Barnea Itay"'
Publikováno v:
Cytometry A 99: 511-523, 2021
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 cytometry using digital holographic microscopy and machine learning in throu
Externí odkaz:
http://arxiv.org/abs/2106.06771
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 swimming freely. We achieve both retrieval of the three-dimensional refr
Externí odkaz:
http://arxiv.org/abs/2002.09738
Akademický článek
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Autor:
Wreschner Daniel H, Gorivodsky Marat, Aylon Yael, Barnea Itay, Zaretsky Joseph Z, Keydar Iafa
Publikováno v:
Molecular Cancer, Vol 5, Iss 1, p 57 (2006)
Abstract Background The MUC1 gene encodes a mucin glycoprotein(s) which is basally expressed in most epithelial cells. In breast adenocarcinoma and a variety of epithelial tumors its transcription is dramatically upregulated. Of particular relevance
Externí odkaz:
https://doaj.org/article/e2577836b0024ce0a2e7da157092bcf8
Autor:
Nygate, Yoav N., Levi, Mattan, Mirsky, Simcha K., Turko, Nir A., Rubin, Moran, Barnea, Itay, Dardikman-Yoffe, Gili, Shalev, Alon, Shaked, Natan T.
Publikováno v:
PNAS 117(17): 9223-9231, April 2020
Many medical and biological protocols for analyzing individual biological cells involve morphological evaluation based on cell staining, designed to enhance imaging contrast and enable clinicians and biologists to differentiate between various cell o
Externí odkaz:
http://arxiv.org/abs/1909.11374
Autor:
Dardikman, Gili, Nygate, Yoav N., Barnea, Itay, Turko, Nir A., Singh, Gyanendra, Javidi, Barham, Shaked, Natan T.
Publikováno v:
Opt. Express 9, 1177-1189 (2018)
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. For this aim, we combined quantitative phase microscopy with simultaneo
Externí odkaz:
http://arxiv.org/abs/1910.00108
Simultaneous off-axis multiplexed holography and regular fluorescence microscopy of biological cells
Publikováno v:
Opt. Lett. 43, 2587-2590 (2018)
We present a new technique for obtaining simultaneous multimodal quantitative phase and fluorescence microscopy of biological cells, providing both quantitative phase imaging and molecular specificity using a single camera. Our system is based on an
Externí odkaz:
http://arxiv.org/abs/1904.01448
Publikováno v:
Opt. Lett. 43, 1943-1946 (2018)
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 projects onto the monochrome digital camera three off-axis holograms
Externí odkaz:
http://arxiv.org/abs/1903.12056
Autor:
Barnea, Itay1 (AUTHOR) iiorluria@mail.tau.ac.il, Luria, Lior1 (AUTHOR) arikgirsault@tauex.tau.ac.il, Girsault, Arik1 (AUTHOR) ofiradabahyo@tauex.tau.ac.il, Dabah, Ofira1 (AUTHOR) matan.dudaie@gmail.com, Dudaie, Matan1 (AUTHOR) simchamirsky@mail.tau.ac.il, Mirsky, Simcha K.1 (AUTHOR) nshaked@tauex.tau.ac.il, Merkel, Drorit2,3 (AUTHOR) drorit.merkel@sheba.health.gov.il, Shaked, Natan T.1 (AUTHOR)
Publikováno v:
Bioengineering (Basel). Mar2024, Vol. 11 Issue 3, p256. 13p.
Autor:
Rubin, Moran, Stein, Omer, Turko, Nir A., Nygate, Yoav, Roitshtain, Darina, Karako, Lidor, Barnea, Itay, Giryes, Raja, Shaked, Natan T.
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 classification of healthy and cancer cells acquired by quantitative phase imaging.
Externí odkaz:
http://arxiv.org/abs/1812.11006