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Natasha S. Barteneva on Muck Rack

Natasha S. Barteneva

As seen in: Frontiers, MDPI, Cell Press
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Articles

Deep learning-enabled morphology analysis of bovine sperm for label-free imaging flow cytometry

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By Andrey Kurenkov, Bolat Seisenov, Kanat Zhumanov, Ivan A Vorobjev, Natasha S. Barteneva, Anel Umirbaeva, Kadyrbay Tadziyev, Mirzhan Mustafin
| Frontiers
Abstract Data analysis of sperm morphology is critical for evaluating bull fertility, yet it is commonly performed using light microscopy and staining techniques in a subjective and manual manner. In this study, we introduce a scalable, high-resolution approach combining label-free Imaging Flow Cytometry with deep learning for automated classification of bovine sperm morphology.
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The Emerging Role of Immunoglobulins and Complement in the Stimulation of Neuronal Activity and Repair: Not as Simple as We Thought

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By Tatyana Veremeyko, Natasha S. Barteneva, Ivan Vorobyev, Eugene D. Ponomarev
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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By Natasha S. Barteneva
| MDPI
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