Research Team
Iván is a 2nd-year Software Engineer in our research group. Is supervised by Estibaliz Gómez de Mariscal and Ricardo Henriques. Worked on 2 publications. Contributed to 1 technology. Collaborates with 2 labs.
Overview: Trained as a software engineer and interested in machine learning techniques, I'm currently applying these methods to microscopy images. As part of the European Project AI4Life, I'm working to bring the worlds of computer and life sciences closer together. Working in Ridardo's lab, I'm learning about various super-resolution microscopy techniques and processes, increasing my understanding of this wonderful field.
In the news
- 2024-06-02: News outlet Labonline highlights Hidalgo-Cenalmor et al. Nature Methods 2024
- 2024-05-28: News outlet MSN highlights Hidalgo-Cenalmor et al. Nature Methods 2024
- 2024-05-28: News outlet AZoRobotics highlights Hidalgo-Cenalmor et al. Nature Methods 2024
- 2024-05-27: News outlet Aamuset Kaupunkimedia highlights Hidalgo-Cenalmor et al. Nature Methods 2024
- 2024-05-17: Blog news-medical.net highlights Hidalgo-Cenalmor et al. Nature Methods 2024
Collaborations
Yoav Shechtman
Technion - Israel Institute of Technology
Haifa, Israel
Joint:
4
Technologies
Publications with our group (see more on Google Scholar)
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DL4MicEverywhere - deep learning for microscopy made flexible, shareable and reproducible Iván Hidalgo-Cenalmor, Joanna W. Pylvänäinen, Mariana G. Ferreira, Craig T. Russell, Alon Saguy, Ignacio Arganda-Carreras, Yoav Shechtman, Guillaume Jacquemet, Ricardo Henriques, Estibaliz Gómez-de-Mariscal Paper published in Nature Methods, May 2024 Technologies: BioImage Model Zoo, DL4MicEverywhere and ZeroCostDL4Mic Funded by: EMBO, ERC, H2021 and H2022 News: Labonline, MSN, AZoRobotics and Aamuset Kaupunkimedia Blogs: news-medical.net DOI: 10.1038/s41592-024-02295-6 |
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This microtubule does not exist - Super-resolution microscopy image generation by a diffusion model Alon Saguy, Tav Nahimov, Maia Lehrman, Estibaliz Gómez-de-Mariscal, Iván Hidalgo-Cenalmor, Onit Alalouf, Ricardo Henriques, Yoav Shechtman Preprint published in bioRxiv, January 2023 Technologies: CARE Funded by: CZI, EMBO, ERC, H2021 and H2022 DOI: 10.1101/2023.07.06.548004 |
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