Mapping HIV-1 infection by 4D Super-Resolution Microscopy
Agency: FCT
Type: CEEC Individual
Principal Investigator: Hannah Heil
Start-date: July 2021
End-date: June 2027
Type: CEEC Individual
Principal Investigator: Hannah Heil
Start-date: July 2021
End-date: June 2027
The proposal by Hannah Sophie Heil aims to delve into the early stages of HIV-1 infection, from virus binding to capsid uncoating, using a novel approach that combines machine learning, microfluidics, and super-resolution imaging. This innovative strategy is designed to overcome the limitations of current methods by enabling the dynamic observation of viral components and cellular interactions during live infection.
Technology explored
Supported publications
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The Rise of Data-Driven Microscopy powered by Machine Learning Leonor Morgado, Estibaliz Gómez-de-Mariscal, Hannah S Heil, Ricardo Henriques Preprint published in arXiv, January 2024 Technologies: BioImage Model Zoo, DL4MicEverywhere, NanoJ, NanoJ-Fluidics and ZeroCostDL4Mic Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022 DOI: 10.48550/arXiv.2401.05282 |
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High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation Romain F. Laine, Hannah S. Heil, Simao Coelho, Jonathon Nixon-Abell, Angélique Jimenez, Theresa Wiesner, Damián Martínez, Tommaso Galgani, Louise Régnier, Aki Stubb, Gautier Follain, Samantha Webster, Jesse Goyette, Aurelien Dauphin, Audrey Salles, Siân Culley, Guillaume Jacquemet, Bassam Hajj, Christophe Leterrier, Ricardo Henriques Paper published in Nature Methods, November 2023 Technologies: CARE, NanoJ, NanoJ-eSRRF, NanoJ-SQUIRREL, NanoJ-SRRF, NanoPyx and Nuclear-Pores as references Funded by: CZI, EMBO, ERC, FCT, H2021, H2022, InnOValley and Wellcome Trust News: Photonics.com, The Science Times, Optics.org and Phys.org Blogs: Springer Nature Protocols and Methods Community DOI: 10.1038/s41592-023-02057-w |
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