Guillaume Jacquemet

Co-development of advanced imaging approaches
Started on September, 2019
Website
Email
Google Scholar
ORCID
Twitter
Research themes with our lab
Resources
Team members collaborating
Ricardo Henriques
Hannah Heil
EMBO Postdoctoral Fellowship
Estibaliz Gómez de Mariscal
EMBO Funded
Simão Coelho
ERC Funded
Pedro Matos Pereira
Alumni
Siân Culley
Alumni
Lucas Von Chamier
Alumni
Romain F. Laine
Alumni
Christoph Spahn
EMBO Short-Term Fellow
Alumni
Publications with our group (see more on Google Scholar)
Fast4DReg – fast registration of 4D microscopy datasets Joanna W Pylvänäinen, Romain F Laine, Sujan Ghimire, Gautier Follain, Ricardo Henriques, Guillaume Jacquemet Published in Journal of Cell Science, February 2023 (see publication) |
DeepBacs for multi-task bacterial image analysis using open-source deep learning approaches Christoph Spahn, Estibaliz Gómez-de-Mariscal, Romain F Laine, Pedro M Pereira, Lucas von Chamier, Mia Conduit, Mariana G Pinho, Guillaume Jacquemet, Séamus Holden, Mike Heilemann, Ricardo Henriques Published in Nature Communications Biology, July 2022 (see publication) |
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 Published in bioRxiv, June 2022 (see preprint) |
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, Tommaso Galgani, Aki Stubb, Gautier Follain, Siân Culley, Guillaume Jacquemet, Bassam Hajj, Christophe Leterrier, Ricardo Henriques Published in bioRxiv, April 2022 (see preprint) |
Avoiding a replication crisis in deep-learning-based bioimage analysis Romain F Laine, Ignacio Arganda-Carreras, Ricardo Henriques, Guillaume Jacquemet Published in Nature methods, October 2021 (see publication) |
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 Published in Nature communications, April 2021 (see publication) |
The cell biologist’s guide to super-resolution microscopy Guillaume Jacquemet, Alexandre F. Carisey, Hellyeh Hamidi, Ricardo Henriques, Christophe Leterrier Published in Journal of Cell Science, June 2020 (see publication) |
Fluctuation-Based Super-Resolution Traction Force Microscopy Aki Stubb, Romain F Laine, Camilo Guzmán, Ricardo Henriques, Guillaume Jacquemet, Johanna Ivaska Published in Nano Letters, March 2020 (see publication) |