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Centre National de la Recherche ScientifiqueORCID 0000-0001-9154-1109Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
Mohamad Harastani, Gurudatt Patra, Charles Kervrann A, Mikhail Eltsov
This paper introduces Template Learning, a deep learning method for particle picking in cryo-ET that reduces reliance on annotated datasets by simulating training data.
Gurudatt Patra, Mohamad Harastani, Kumiko Samejima…·Mikhail Eltsov
The paper uses cryo-CLEM to visualize and analyze the ultrastructural organization of mitotic chromosomes, identifying non-histone macromolecular densities and surface particle clusters.
Mohamad Harastani, Slavica Jonić
The paper introduces HEMNMA-3D for analyzing continuous conformational variability in cryo-ET data and compares it to traditional methods on a simulated nucleosome dataset.