Research Team
Estibaliz was a 5-year Postdoc (now PI) in our research group. Worked on 12 publications. Contributed to 5 technologies. Raised 2 grants. Collaborated with 10 labs. Mentored 2 Software Engineers.
Current path: Estibaliz now leads her own laboratory at the NOVA Institute for Medical Systems Biology (NIMSB) in Portugal, working at the interface of machine learning and bioimage analysis. She continues to collaborate with our group on AI-driven microscopy workflows and is a co-applicant on the Einstein Foundation Award (2026).
Past Overview (as written by Estibaliz at her time in our lab): I'm interested in understanding cell-level biology using bioimage analysis. My research centers on facing the challenges when applying machine-learning techniques to microscopy images and on contributing to biological discoveries with it. Previously, I developed methods to process TEM images and phase-contrast time-lapse movies to contribute to the characterization of cancer cell motility. I have also conceived new biostatistical approaches to analyse big data. I'm also one of the creators of deepImageJ, an environment to bridge deep-learning to ImageJ. A crucial part of my work and dedication is to make computational tools accessible (open and user-friendly) and reusable, and train non-experts to benefit from them. As a postdoc in Ricardo's lab I'll be learning (a lot) of super-resolution microscopy, and building novel machine-learning methodologies applied to it.
Latest news
- 2025-04-22: Blog BPoD - Biomedical Picture of the Day highlights Spahn et al. Nature Communications 2025 [external link]
- 2024-06-02: News outlet Labonline highlights Hidalgo-Cenalmor et al. Nature Methods 2024 [external link]
- 2024-05-28: News outlet MSN highlights Hidalgo-Cenalmor et al. Nature Methods 2024 [external link]
- 2024-05-27: News outlet Aamuset Kaupunkimedia highlights Hidalgo-Cenalmor et al. Nature Methods 2024 [external link]
- 2024-05-17: Blog news-medical.net highlights Hidalgo-Cenalmor et al. Nature Methods 2024 [external link]
Show more news (2 additional items)
- 2024-02-27: Interviewed by Helen Zenner at FocalPlane - Estibaliz Gómez de Mariscal
- 2024-02-27: Interviewed by FocalPlane - Estibaliz Gómez-de-Mariscal [external link]
Supervisees
Collaborations
Séamus Holden
Warwick University
Warwick, UK
Joint:
7
Yoav Shechtman
Technion - Israel Institute of Technology
Haifa, Israel
Joint:
6
Technologies
Latest Outreach
Latest publications with our group (see more on Google Scholar)
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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 Paper published in Journal of Physics - Photonics, January 2026 Technologies: BioImage Model Zoo (), CARE (), mAIcrobe () and ZeroCostDL4Mic () Funded by: CZI, EMBO, ERC and H2021 DOI: 10.1088/2515-7647/ae0fd1 |
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PhotoFiTT - a quantitative framework for assessing phototoxicity in live-cell microscopy experiments Mario Del Rosario, Estibaliz Gómez-de-Mariscal, Leonor Morgado, Raquel Portela, Guillaume Jacquemet, Pedro M. Pereira, Ricardo Henriques Paper published in Nature Communications, December 2025 Technologies: mAIcrobe (), PhotoFiTT () and ZeroCostDL4Mic () Funded by: Chan Zuckerberg Initiative (CZI), The Kavli Foundation, and The Wellcome Trust, CZI, EMBO, ERC, FCT, H2021 and H2022 DOI: 10.1038/s41467-025-66209-6 |
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The nucleoid of rapidly growing Escherichia coli localizes close to the inner membrane and is organized by transcription, translation, and cell geometry Christoph Spahn, Stuart Middlemiss, Estibaliz Gómez-de-Mariscal, Ricardo Henriques, Helge B. Bode, Séamus Holden, Mike Heilemann Paper published in Nature Communications, April 2025 Technologies: CARE (), DeepBacs () and ZeroCostDL4Mic () Funded by: EMBO, ERC, H2021 and H2022 DOI: 10.1038/s41467-025-58723-4 |
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ReScale4DL - Balancing Pixel and Contextual Information for Enhanced Bioimage Segmentation Mariana G. Ferreira, Bruno M. Saraiva, António D. Brito, Mariana G. Pinho, Ricardo Henriques, Estibaliz Gómez-de-Mariscal Preprint published in bioRxiv, April 2025 Technologies: BioImage Model Zoo (), DeepBacs (), DL4MicEverywhere (), NanoPyx (), Rescale4DL () and ZeroCostDL4Mic () Funded by: CZI, EMBO, ERC, H2021 and H2022 DOI: 10.1101/2025.04.09.647871 |
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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 DOI: 10.1038/s41592-024-02295-6 |
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Show more publications (7 additional items)
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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-eSRRF (), NanoJ-SQUIRREL (), NanoJ-SRRF () and ZeroCostDL4Mic () Funded by: CZI, EMBO, ERC, H2021 and H2022 DOI: 10.1242/jcs.261545 |
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CellTracksColab is a platform that enables compilation, analysis, and exploration of cell tracking data Estibaliz Gómez-de-Mariscal, Hanna Grobe, Joanna W Pylvänäinen, Laura Xénard, Ricardo Henriques, Jean-Yves Tinevez, Guillaume Jacquemet Published in PLOS Biology, January 2024 Technologies: CARE (), CellTracksColab () and ZeroCostDL4Mic () DOI: 10.1371/journal.pbio.3002740 |
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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 (), DeepAutoFocus (), DeepBacs () and ZeroCostDL4Mic () Funded by: EMBO, ERC, H2021 and H2022 DOI: 10.1101/2023.10.16.562172 |
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Live-cell imaging in the deep learning era Joanna W Pylvänäinen, Estibaliz Gómez-de-Mariscal, Ricardo Henriques, Guillaume Jacquemet Review published in Current Opinion in Cell Biology, January 2023 Technologies: BioImage Model Zoo (), CARE (), DeepBacs (), Fast4DReg (), NanoJ (), NanoJ-Fluidics () and ZeroCostDL4Mic () Funded by: CZI, EMBO, ERC and H2021 DOI: 10.1016/j.ceb.2023.102271 |
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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 and H2021 DOI: 10.48550/arXiv.2303.03793 |
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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 Paper published in Communications Biology, July 2022 Technologies: BioImage Model Zoo (), CARE (), DeepBacs (), NanoJ (), NanoJ-SQUIRREL () and ZeroCostDL4Mic () Funded by: CZI, ERC, FCT and Wellcome Trust DOI: 10.1038/s42003-022-03634-z |
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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 |
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Latest funding with our group
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SMALS - Smart Microscopy for Adaptative Live Super-resolution imaging to elucidate the initial steps of the HIV viral transmission Estibaliz Gómez-de-Mariscal Alias: SMALS Funded by: FCT - CEEC Individual Duration: April 2024 - March 2027 |
