Research Team
Bruno is a 4th-year Postdoc in our research group. Worked on 9 publications. Contributed to 4 technologies. Raised 1 grant. Collaborates with 7 labs. Mentored 1 PhD Student, 1 Masters Student, 1 Software Engineer.
My main focus is developing new tools for bioimage analysis that can empower life science researchers.
Latest news
- 2025-02-28: News outlet EUTOPIA highlights Saraiva et al. Nature Methods 2025 [external link]
- 2025-01-25: News outlet Tempo.pt highlights Saraiva et al. Nature Methods 2025 [external link]
- 2025-01-09: News outlet Nouvelles du monde highlights Saraiva et al. Nature Methods 2025 [external link]
- 2025-01-06: News outlet RTP highlights Saraiva et al. Nature Methods 2025 [external link]
Supervisees
Collaborations
Christophe Leterrier
Aix Marseille Université, CNRS, INP
Marseille, France
Joint:
11
Yoav Shechtman
Technion - Israel Institute of Technology
Haifa, Israel
Joint:
5
Technologies
Latest publications with our group (see more on Google Scholar)
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Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques Paper published in Nature Communications, Julho 2025 Technologies: Nuclear-Pores as references and SReD () Funded by: CZI, EMBO, H2021 and H2022 DOI: 10.1038/s41467-025-60709-1 |
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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, Abril 2025 Technologies: BioImage Model Zoo (), DeepBacs (), DL4MicEverywhere (), NanoPyx (), Rescale4DL () and ZeroCostDL4Mic () Funded by: CZI, EMBO, H2021 and H2022 DOI: 10.1101/2025.04.09.647871 |
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Efficiently accelerated bioimage analysis with NanoPyx, a Liquid Engine-powered Python framework Bruno M. Saraiva, Inês Cunha, António D. Brito, Gautier Follain, Raquel Portela, Robert Haase, Pedro M. Pereira, Guillaume Jacquemet, Ricardo Henriques Paper published in Nature Methods, Janeiro 2025 Technologies: Fast4DReg (), NanoJ (), NanoJ-eSRRF (), NanoJ-SQUIRREL () and NanoPyx () Funded by: CZI, EMBO, FCT, H2021 and H2022 News: Tempo.pt, Nouvelles du monde and RTP DOI: 10.1038/s41592-024-02562-6 |
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Rxiv-Maker - An Automated Template Engine for Streamlined Scientific Publications Bruno M Saraiva, Guillaume Jaquemet, Ricardo Henriques Preprint published in arXiv, Janeiro 2025 Technologies: DL4MicEverywhere () Funded by: CZI, EMBO, H2021 and H2022 DOI: 10.48550/arXiv.2508.00836 |
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Cell constriction requires processive septal peptidoglycan synthase movement independent of FtsZ treadmilling in Staphylococcus aureus Simon Schäper, António D. Brito, Bruno M. Saraiva, Georgia R. Squyres, Matthew J. Holmes, Ethan C. Garner, Zach Hensel, Ricardo Henriques, Mariana G. Pinho Paper published in Nature Microbiology, Março 2024 Technologies: NanoJ () Funded by: EMBO DOI: 10.1038/s41564-024-01629-6 |
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Show more publications (4 additional items)
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Fast4DReg–fast registration of 4D microscopy datasets Joanna W Pylvänäinen, Romain F Laine, Bruno MS Saraiva, Sujan Ghimire, Gautier Follain, Ricardo Henriques, Guillaume Jacquemet Paper published in Journal of Cell Science, Janeiro 2023 Technologies: CARE (), Fast4DReg (), NanoJ () and ZeroCostDL4Mic () Funded by: CZI DOI: 10.1242/jcs.260728 |
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Processive movement of Staphylococcus aureus essential septal peptidoglycan synthases is independent of FtsZ treadmilling and drives cell constriction Simon Schaeper, Antonio D Brito, Bruno M Saraiva, Georgia R Squyres, Matthew J Holmes, Ethan C Garner, Zach Hensel, Ricardo Henriques, Mariana G Pinho Preprint published in bioRxiv, Janeiro 2023 Technologies: NanoJ () Funded by: EMBO DOI: 10.1101/2023.06.29.547026 |
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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, Janeiro 2023 Technologies: BioImage Model Zoo (), CARE () and ZeroCostDL4Mic () Funded by: CZI, EMBO and H2021 DOI: 10.48550/arXiv.2303.03793 |
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eHooke - A tool for automated image analysis of spherical bacteria based on cell cycle progression Bruno M. Saraiva, Ludwig Krippahl, Sérgio R. Filipe, Ricardo Henriques, Mariana G. Pinho Paper published in Biological Imaging, Setembro 2021 Funded by: Wellcome Trust DOI: 10.1017/s2633903x21000027 |
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Latest funding with our group
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Cutting-edge super-resolution image analysis in napari through NanoJ Bruno Saraiva, Ricardo Henriques Funded by: CZI - Applications - napari Plugin Foundations grants Duration: Janeiro 2023 - Dezembro 2023 Publications: 3 |