Research Team


Florian Jug

Florian Jug

Group Leader

Human Technopole, Milan, Italy

Team members collaborating with Florian Jug:


Christoph Spahn

Christoph Spahn

Postdoc (now PI)
EMBO Fellowship

Daniel Krentzel

Daniel Krentzel

Internship Student
Crick Sandwich Student

Lucas von Chamier

Lucas von Chamier

PhD Student
MRC-LMCB Studentship

Mariana Ferreira

Mariana Ferreira

Software Engineer
H2021 AI4Life Grant funded

Romain F. Laine

Romain F. Laine

Postdoc
MRC Fellowship

Siân Culley

Siân Culley

Postdoc (now PI)
Wellcome Trust Grant


Publications with our group (see more on Google Scholar):


AI4Life Open Calls and Public Challenges: why, how, and what we have learned
Vera Galinova, Mehdi Seifi, Beatriz Serrano Solano, Kristína Lidayová, Damian Dalle Nogare, Agustín Andrés Corbat, Joshua Talks, Edoardo Giacomello, Estibaliz Gómez-de-Mariscal, Mariana G. Ferreira, Caterina Fuster-Barceló, Juan Manuel Battagliotti, Carlos García-López-de-Haro, Benjamin Salmon, Melisande Croft, Si Young Yie, Guillermo Rey-Paniagua, Xiaotian Hu, Sungjun Cho, Aagam Sheth, Chhayansh Porwal, Xiaomeng Li, AI4Life Consortium, Ricardo Henriques, Xinyang Li, Alexander Krull, Anna Klemm, Arrate Muñoz Barrutia, Anna Kreshuk, Wei Ouyang, Florian Jug, Joran Deschamps
Preprint published in bioRxiv, July 2026
Technologies: BioImage Model Zoo (), CARE (), DL4MicEverywhere (), mAIcrobe (), Nuclear-Pores as references and ZeroCostDL4Mic ()
Funded by: Chan Zuckerberg Initiative (CZI), The Kavli Foundation, and The Wellcome Trust, ERC, H2021, H2022 and La Caixa Foundation
DOI: 10.64898/2026.07.21.739486
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 (), CARE () and ZeroCostDL4Mic ()
Funded by: CZI, EMBO, ERC and H2021
DOI: 10.1101/2022.06.07.495102
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 (), 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
Content-aware image restoration: pushing the limits of fluorescence microscopy
Martin Weigert, Uwe Schmidt, Tobias Boothe, Andreas Müller, Alexandr Dibrov, Akanksha Jain, Benjamin Wilhelm, Deborah Schmidt, Coleman Broaddus, Siân Culley, Mauricio Rocha-Martins, Fabián Segovia-Miranda, Caren Norden, Ricardo Henriques, Marino Zerial, Michele Solimena, Jochen Rink, Pavel Tomancak, Loic Royer, Florian Jug, Eugene W. Myers
Paper published in Nature Methods, November 2018
Technologies: CARE (), NanoJ-SQUIRREL () and NanoJ-SRRF ()
Funded by: BBSRC and Wellcome Trust
News: Technology Networks, VBIO, Innovations Report and Informationsdienst Wissenschaft
DOI: 10.1038/s41592-018-0216-7

Funding with our group

Artificial Intelligence for Image Data Analysis in the Life Sciences
Anna Kreshuk, Florian Jug, Ricardo Henriques, Wei Ouyang, Arrate Muñoz-Barrutia, Emma Lundberg, Matthew Hartley
Alias: AI4Life
Funded by: H2021 - INFRA
Duration: September 2022 - August 2025
Publications: 27