2. Access to technology is not obvious 2. Fluorescence Fluctuation-based Super-Resolution Microscopy (FF-SRM) napari-superres an open-source implementation of methods for Fluorescence Fluctuation-based Super-Resolution Microscopy (FF-SRM) 3. Superres plugin 4. Conclusions Rocco D’Antuono1,2, Raúl Pinto Cámara3,4, Paul Hernández-Herrera4, Esley Torres García3,4, Alejandro Linares4, Haydee Hernández5, Adán Guerrero4 1 Crick Advanced Light Microscopy STP, The Francis Crick Institute, London, United Kingdom 2 Biomedical Engineering, School of Biological Sciences, University of Reading, Reading, United Kingdom 3 Centro de Investigación en Ciencias, Instituto de Investigación en Ciencias Básicas y Aplicadas, Universidad Autónoma del Estado de Morelos, Cuernavaca, Morelos, México 4 Laboratorio Nacional de Microscopía Avanzada, Instituto de Biotecnología, Universidad Nacional Autónoma de México, Cuernavaca, Morelos, México 5 Posgrado en ciencias e ingeniería de la computación Universidad Nacional Autónoma de México, Ciudad de México, México Acknowledgements We are grateful to Kurt Anderson (CALM head, The Francis Crick Institute) for supporting and encouraging the project and the professional development of the CALM staff. We thank Dr. Chris Wood (LNMA) for critical reading of the grant proposal. RD’A works at the Francis Crick Institute which receives its core funding from Cancer Research United Kingdom (CC0199), the United Kingdom Medical Research Council (CC0199), and the Wellcome Trust (CC0199). This project is entirely based on the use of open-source software that makes science easier, a huge thank you to the developers of: numpy, matplotlib, pandas, JupyterLab, napari, etc. The future software development will be supported by the napari Plugin Foundation award (Chan-Zuckerberg Initiative). References 1. Alva, Alma, Eduardo Brito-Alarcón, Alejandro Linares, Esley Torres-García, Haydee O. Hernández, Raúl Pinto-Cámara, Damián Martínez, et al. 2022. “Fluorescence Fluctuation-Based Super-Resolution Microscopy: Basic Concepts for an Easy Start.” Journal of Microscopy, August. https://doi.org/10.1111/jmi.13135. 2. Agarwal, Krishna, and Radek Macháň. 2016. “Multiple Signal Classification Algorithm for Super-Resolution Fluorescence Microscopy.” Nature Communications 7 (1): 13752. https://doi.org/10.1038/ncomms13752. 3. Miao, Yuting, Shimon Weiss, and Xiyu Yi. 2022. “PySOFI: An Open Source Python Package for SOFI.” Biophysical Reports 2 (2): 100052. https://doi.org/10.1016/j.bpr.2022.100052. 4. Yahiatene, Idir, Simon Hennig, Marcel Müller, and Thomas Huser. 2015. “Entropy-Based Super-Resolution Imaging (ESI): From Disorder to Fine Detail.” ACS Photonics 2 (8): 1049–56. https://doi.org/10.1021/acsphotonics.5b00307. 5. Cox, Susan, Edward Rosten, James Monypenny, Tijana Jovanovic-Talisman, Dylan T. Burnette, Jennifer Lippincott-Schwartz, Gareth E. Jones, and Rainer Heintzmann. 2012. “Bayesian Localization Microscopy Reveals Nanoscale Podosome Dynamics.” Nature Methods 9 (2): 195–200. https://doi.org/10.1038/nmeth.1812. 6. Gustafsson, Nils, Siân Culley, George Ashdown, Dylan M. Owen, Pedro Matos Pereira, and Ricardo Henriques. 2016. "Fast live-cell conventional fluorophore nanoscopy with ImageJ through super-resolution radial fluctuations." Nature communications 7 (1): 1-9. https://doi.org/10.1038/ncomms12471 7. García, Esley Torres, Raúl Pinto Cámara, Alejandro Linares, Damián Martínez, Víctor Abonza, Eduardo Brito-Alarcón, Carlos Calcines-Cruz, et al. 2021. “Nanoscopic Resolution within a Single Imaging Frame.” BioRxiv, October, 2021.10.17.464398. https://doi.org/10.1101/2021.10.17.464398. 8. https://github.com/RoccoDAnt/napari-superres 5. Future developments • Fluorescence microscopy is a well-developed imaging modality that is used in life sciences to study tissues, organoids, and cells. The inspection on the microscopic scale is limited by the resolving power of the used optical system, but more specialized techniques for Super-Resolutio