Mapping HIV-1 infection by 4D Super-Resolution Microscopy


Funding Image
Agency: FCT
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


CARE CARE Newest update: 2024-10-05
NanoJ NanoJ Newest update: 2024-03-22
Nuclear-Pores as references Nuclear-Pores as references Newest update: 2019-9-27
NanoJ-Fluidics NanoJ-Fluidics Newest update: 2019-04-04

Supported publications


Expansion and fluctuations-enhanced microscopy for nanoscale molecular profiling of cells and tissues
Dominik Kylies, Hannah S. Heil, Arturo G. Vesga, Mario Del Rosario, Maria Schwerk, Malte Kuehl, Milagros N. Wong, Victor G. Puelles, Ricardo Henriques
Paper published in Nature Protocols, July 2025
Technologies: NanoJ (), NanoJ-eSRRF (), NanoJ-SQUIRREL (), NanoJ-SRRF (), NanoPyx () and Nuclear-Pores as references
Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022
DOI: 10.1038/s41596-025-01178-0
Nanoscale imaging of biological systems via expansion and super-resolution microscopy
Daria Aristova, Dominik Kylies, Mario Del Rosario, Hannah S. Heil, Maria Schwerk, Malte Kuehl, Milagros N. Wong, Ricardo Henriques, Victor G. Puelles
Paper published in Applied Physics Reviews, April 2025
Technologies: NanoJ-eSRRF () and NanoJ-SRRF ()
Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022
DOI: 10.1063/5.0240464
The rise of data‐driven microscopy powered by machine learning
Leonor Morgado, Estibaliz Gómez‐de‐Mariscal, Hannah S. Heil, Ricardo Henriques
Review published in Journal of Microscopy, March 2024
Technologies: NanoJ () and NanoJ-Fluidics ()
Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022
DOI: 10.1111/jmi.13282
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 () 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

News


  • 2023-11-27: News outlet Photonics.com highlights Laine et al. Nature Methods 2023 [external link]
  • 2023-11-20: News outlet The Science Times highlights Laine et al. Nature Methods 2023 [external link]
  • 2023-11-16: News outlet Optics.org highlights Laine et al. Nature Methods 2023 [external link]
  • 2023-11-14: Blog Springer Nature Protocols and Methods Community highlights Laine et al. Nature Methods 2023 [external link]
  • 2023-11-14: News outlet Phys.org highlights Laine et al. Nature Methods 2023 [external link]