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Igor Zubarev

As seen in: Nature, BioRxiv
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Articles

\({\bf{Micro}}{{\mathbb{S}}}{\bf{plit}}\) : semantic unmixing of fluorescent microscopy data

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By Ashesh Ashesh, Federico Carrara, Igor Zubarev, Vera Galinova, Daozheng Gong, Elisa Colombo, Stefania Giussani, Nikolai Klena, Moises Di Sante, Raghabendra Adhikari, Daniel Feliciano, Gaia Pigino, Elena Taverna, Oliver Harschnitz, Nicola Maghelli, Norbert F. Scherer, Joran Deschamps, Francesco Pasqualini, Florian Jug, Melisande Croft, Melissa Pezzotti, Francesca Casagrande, Elena Restelli, Eugenia Cammarota, Juan Manuel Battagliotti
| Nature Verified
Abstract Fluorescence microscopy is constrained by optical limits, fluorophore chemistry and finite photon budgets, imposing trade-offs between imaging speed, resolution and phototoxicity. Here we introduce \({\rm{Micro}}{\mathbb{S}}{\rm{plit}}\), a deep learning-based computational multiplexing method that enables multiple cellular structures to be imaged simultaneously in a single fluorescent channel and then computationally unmixed.
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MicroSplit: Semantic Unmixing of Fluorescent Microscopy Data

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By Ashesh Ashesh, Federico Carrara, Igor Zubarev, Vera Galinova
| BioRxiv
Abstract Fluorescence microscopy, a key driver for progress in the life sciences, faces limitations due to the microscope's optics, fluorophore chemistry, and photon exposure limits, necessitating trade-offs in imaging speed, resolution, and depth.
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