public
Next generation imaging for biology across scales
IMAGINE will provide technologies to probe structure and function of biological specimens in their natural context
IMAGINE project is continuously publishing its results as papers and/or journals. These publications have been published by different WPs across the project. Committed to FAIR principles, all publications are available online.
Félix, R; Paleček, D; Correia, T. Colour science with lasers, gummy bears, and rainbows. Issue 66. Science in School: The European Journal for Science Teachers. https://www.scienceinschool.org/wp-content/uploads/2024/01/Issue-66-Gummy-Bears.pdf
Gemin, O., Armijo, V., Hons, M., Bissardon, C., Linares, R., Bowler, M. W., … & Papp, G. (2024). EasyGrid: A versatile platform for automated cryo-EM sample preparation and quality control. bioRxiv, 2024-01. https://doi.org/10.1101/2024.01.18.576170
Albers, J., Nikolova, M., Svetlove, A., Darif, N., Lawson, M. J., Schneider, T. R., … & Duke, E. (2024). High throughput tomography (HiTT) on EMBL beamline P14 on PETRA III. Journal of Synchrotron Radiation, 31(1). https://doi.org/10.1107/S160057752300944X
Berger, C., Dumoux, M., Glen, T. et al. Plasma FIB milling for the determination of structures in situ. Nat Commun 14, 629 (2023). https://doi.org/10.1038/s41467-023-36372-9
Dumoux, M; Glen, T; Smith, J; Ho, E; Perdigão, L; Pennington, A; Klumpe, S; Yee, N; Farmer, D; Lai, P; Bowles, W; Kelley, R; Plitzko, J; Wu, L; Basham, M; Clare, D; Siebert, C; Darrow, M; Naismith, J; Grange, M (2023). Cryo-plasma FIB/SEM volume imaging of biological specimens. eLife 12:e83623. https://doi.org/10.7554/eLife.83623
Obando, M., Bassi, A., Ducros, N. et al. Model-based deep learning framework for accelerated optical projection tomography. Sci Rep 13, 21735 (2023). https://doi.org/10.1038/s41598-023-47650-3
Obando, M; Bassi, A; Ducros, N; et al. ToMoDL: A model-based deep learning framework for optical projection tomography, 07 September 2023, PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-3318045/v1
Obando, M; Bassi, A; Ducros, N; et al. ToMoDL: A model-based deep learning framework for optical projection tomography, 07 September 2023, PREPRINT (Version 1) available at Research Square. https://doi.org/10.21203/rs.3.rs-3318045/v1
Schiøtz, O.H., Kaiser, C.J.O., Klumpe, S. et al. Serial Lift-Out: sampling the molecular anatomy of whole organisms. Nat Methods (2023). https://doi.org/10.1038/s41592-023-02113-5
This project is funded by the European Union (GA#101094250). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.
