Unveiling live-cell viral replication at the nanoscale


Funding Image
Agency: EMBO
Type: Installation Grant
Principal Investigator: Ricardo Henriques
Start-date: January 2021
End-date: January 2026

Proposes to use super-resolution microscopy and machine learning to track viral replication dynamics in living cells over long time periods, with the spatial and temporal resolution to observe key events like viral entry, uncoating, translation, assembly, and budding. The aim is to develop an adaptive, multimodal microscope that can image at different resolutions and switch modalities depending on the infection stage, while minimizing phototoxicity. This will be applied to study open questions in HIV-1 infection like how entry pathways affect downstream replication and which virions produce productive infections. The technology developed will be open-source to make it accessible for studying other viruses like influenza and SARS-CoV-2.

Technology explored


Infection-Counter Infection-Counter
NanoJ-Fluidics NanoJ-Fluidics
NanoJ-SQUIRREL NanoJ-SQUIRREL
NanoJ-SRRF NanoJ-SRRF
NanoJ-VirusMapper NanoJ-VirusMapper
QuickPALM QuickPALM
Super-Beacons Super-Beacons
vLume vLume
ZeroCostDL4Mic ZeroCostDL4Mic

Supported publications


Harnessing artificial intelligence to reduce phototoxicity in live imaging
Estibaliz Gómez-de-Mariscal, Mario Del Rosario, Joanna W. Pylvänäinen, Guillaume Jacquemet, Ricardo Henriques
Perspective published in Journal of Cell Science, February 2024
Technologies: BioImage Model Zoo, CARE, DeepBacs, NanoJ-SRRF and ZeroCostDL4Mic
Funded by: CZI, EMBO, ERC, H2021 and H2022
DOI: 10.1242/jcs.261545
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
DL4MicEverywhere - Deep learning for microscopy made flexible, shareable, and reproducible
Iván Hidalgo-Cenalmor, Joanna W Pylvänäinen, Mariana G Ferreira, Craig T Russell, Ignacio Arganda-Carreras, AI4Life Consortium, Guillaume Jacquemet, Ricardo Henriques, Estibaliz Gómez-de-Mariscal
Preprint published in bioRxiv, November 2023
Technologies: BioImage Model Zoo, DeepBacs, DL4MicEverywhere and ZeroCostDL4Mic
Funded by: CZI, EMBO, ERC, H2021 and H2022
DOI: 10.1101/2023.11.19.567606
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
Transertion and cell geometry organize the Escherichia coli nucleoid during rapid growth
Christoph Spahn, Stuart Middlemiss, Estibaliz Gómez-de-Mariscal, Ricardo Henriques, Helge B. Bode, Séamus Holden, Mike Heilemann
Preprint published in bioRxiv, October 2023
Technologies: CARE, DeepBacs and ZeroCostDL4Mic
Funded by: EMBO, ERC, H2021 and H2022
DOI: 10.1101/2023.10.16.562172
NanoPyx - super-fast bioimage analysis powered by adaptive machine learning
Bruno M. Saraiva, Inês M. Cunha, António D. Brito, Gautier Follain, Raquel Portela, Robert Haase, Pedro M. Pereira, Guillaume Jacquemet, Ricardo Henriques
Preprint published in bioRxiv, August 2023
Technologies: CARE, NanoJ, NanoJ-eSRRF, NanoJ-SQUIRREL, NanoJ-SRRF, NanoJ-VirusMapper and NanoPyx
Funded by: CZI, EMBO, ERC, H2021 and H2022
DOI: 10.1101/2023.08.13.553080
Processive movement of Staphylococcus aureus essential septal peptidoglycan synthases is independent of FtsZ treadmilling and drives cell constriction
Simon Schaeper, Antonio D Brito, Bruno M Saraiva, Georgia R Squyres, Matthew J Holmes, Ethan C Garner, Zach Hensel, Ricardo Henriques, Mariana G Pinho
Preprint published in bioRxiv, January 2023
Technologies: NanoJ
Funded by: EMBO and ERC
DOI: 10.1101/2023.06.29.547026
Roadmap on Deep Learning for Microscopy
Giovanni Volpe, Carolina Wählby, Lei Tian, Michael Hecht, Artur Yakimovich, Kristina Monakhova, Laura Waller, Ivo F Sbalzarini, Christopher A Metzler, Mingyang Xie, Kevin Zhang, Isaac CD Lenton, Halina Rubinsztein-Dunlop, Daniel Brunner, Bijie Bai, Aydogan Ozcan, Daniel Midtvedt, Hao Wang, Nataša Sladoje, Joakim Lindblad, Jason T Smith, Marien Ochoa, Margarida Barroso, Xavier Intes, Tong Qiu, Li-Yu Yu, Sixian You, Yongtao Liu, Maxim A Ziatdinov, Sergei V Kalinin, Arlo Sheridan, Uri Manor, Elias Nehme, Ofri Goldenberg, Yoav Shechtman, Henrik K Moberg, Christoph Langhammer, Barbora Špačková, Saga Helgadottir, Benjamin Midtvedt, Aykut Argun, Tobias Thalheim, Frank Cichos, Stefano Bo, Lars Hubatsch, Jesus Pineda, Carlo Manzo, Harshith Bachimanchi, Erik Selander, Antoni Homs-Corbera, Martin Fränzl, Kevin de Haan, Yair Rivenson, Zofia Korczak, Caroline Beck Adiels, Mite Mijalkov, Dániel Veréb, Yu-Wei Chang, Joana B Pereira, Damian Matuszewski, Gustaf Kylberg, Ida-Maria Sintorn, Juan C Caicedo, Beth A Cimini, Muyinatu A Lediju Bell, Bruno M Saraiva, Guillaume Jacquemet, Ricardo Henriques, Wei Ouyang, Trang Le, Estibaliz Gómez-de-Mariscal, Daniel Sage, Arrate Muñoz-Barrutia, Ebba Josefson Lindqvist, Johanna Bergman
Preprint published in arXiv, January 2023
Technologies: BioImage Model Zoo, CARE and ZeroCostDL4Mic
Funded by: CZI, EMBO, ERC and H2021
DOI: 10.48550/arXiv.2303.03793
Mapping molecular complexes with super-resolution microscopy and single-particle analysis
Afonso Mendes, Hannah S. Heil, Simao Coelho, Christophe Leterrier, Ricardo Henriques
Paper published in Open Biology, July 2022
Technologies: NanoJ-VirusMapper, Nuclear-Pores as references and ZeroCostDL4Mic
Funded by: EMBO, ERC and Wellcome Trust
DOI: 10.1098/rsob.220079
The LEGO® brick road to open science and biotechnology
Etienne Boulter, Julien Colombelli, Ricardo Henriques, Chloé C. Féral
Review published in Trends in Biotechnology, March 2022
Technologies: NanoJ, NanoJ-Fluidics and NanoJ-SRRF
Funded by: EMBO, ERC and Wellcome Trust
DOI: 10.1016/j.tibtech.2022.02.003
Expansion Microscopy on Saccharomyces cerevisiae
AG Korovesi, L Morgado, M Fumasoni, R Henriques, HS Heil, M Del Rosario
Paper published in microPublication Biology, January 2022
Technologies: CARE
Funded by: EMBO, ERC and Wellcome Trust
DOI: 10.17912/micropub.biology.000566
Bioimage model zoo - a community-driven resource for accessible deep learning in bioimage analysis
Wei Ouyang, Fynn Beuttenmueller, Estibaliz Gómez-de-Mariscal, Constantin Pape, Tom Burke, Carlos Garcia-López-de-Haro, Craig Russell, Lucía Moya-Sans, Cristina de-la-Torre-Gutiérrez, Deborah Schmidt, Dominik Kutra, Maksim Novikov, Martin Weigert, Uwe Schmidt, Peter Bankhead, Guillaume Jacquemet, Daniel Sage, Ricardo Henriques, Arrate Muñoz-Barrutia, Emma Lundberg, Florian Jug, Anna Kreshuk
Preprint published in bioRxiv, January 2022
Technologies: BioImage Model Zoo and ZeroCostDL4Mic
Funded by: CZI, EMBO, ERC and H2021
DOI: 10.1101/2022.06.07.495102
Nanoscale colocalization of NK cell activating and inhibitory receptors controls signal integration
David Tomaz, Pedro Matos Pereira, Nadia Guerra, Julian Dyson, Keith Gould, Ricardo Henriques
Paper published in Frontiers in Immunology, January 2022
Technologies: NanoJ and NanoJ-SQUIRREL
Funded by: BBSRC, EMBO and ERC
DOI: 10.3389/fimmu.2022.868496
Democratising deep learning for microscopy with ZeroCostDL4Mic
Lucas von Chamier, Romain F. Laine, Johanna Jukkala, Christoph Spahn, Daniel Krentzel, Elias Nehme, Martina Lerche, Sara Hernández-Pérez, Pieta K. Mattila, Eleni Karinou, Séamus Holden, Ahmet Can Solak, Alexander Krull, Tim-Oliver Buchholz, Martin L. Jones, Loïc A. Royer, Christophe Leterrier, Yoav Shechtman, Florian Jug, Mike Heilemann, Guillaume Jacquemet, Ricardo Henriques
Paper published in Nature Communications, April 2021
Technologies: CARE, FBSR-TFM, NanoJ, NanoJ-SQUIRREL, NanoJ-SRRF and ZeroCostDL4Mic
Funded by: EMBO, ERC and Wellcome Trust
News: AZO Life Sciences, Drug Target Review, Nanotechnology Now and The Medical News
Blogs: Microbiome Digest - Bik's Picks
DOI: 10.1038/s41467-021-22518-0
Avoiding a replication crisis in deep-learning-based bioimage analysis
Romain F Laine, Ignacio Arganda-Carreras, Ricardo Henriques, Guillaume Jacquemet
Perspective published in Nature methods, January 2021
Technologies: CARE and ZeroCostDL4Mic
Funded by: EMBO, ERC and Wellcome Trust
DOI: 10.1038/s41592-021-01284-3
The field guide to 3D printing in microscopy
Mario Del Rosario, Hannah S Heil, Afonso Mendes, Vittorio Saggiomo, Ricardo Henriques
Review published in Adv. Biol., January 2021
Technologies: CARE, NanoJ, NanoJ-Fluidics and NanoJ-SRRF
Funded by: EMBO, ERC and Wellcome Trust
DOI: 10.1002/adbi.202100994