activity
20232026
most citedHarnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging

20 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2026★ 1 cited

Packaging Jupyter notebooks as installable desktop apps using LabConstrictor

Iván Hidalgo-Cenalmor, Marcela Xiomara Rivera Pineda, Bruno M. Saraiva +2

Life sciences research depends heavily on open-source academic software, yet many tools remain underused due to practical barriers. These include installation requirements that hin…

cs.SE2026★ 1 cited

EZInput: A Cross-Environment Python Library for Easy UI Generation in Scientific Computing

Bruno M. Saraiva, Iván Hidalgo-Cenalmor, António D. Brito +4

Researchers face a persistent barrier when applying computational algorithms with parameter configuration typically demanding programming skills, interfaces differing across enviro…

cs.DL2025

Rxiv-Maker: an automated template engine for streamlined scientific publications

Bruno M. Saraiva, Rita Carlota, António D. Brito +3

The rapid growth of preprint servers has accelerated scientific dissemination but has also shifted the technical burden of manuscript preparation to authors. This challenge is part…

q-bio.QM2023★ 20 cited

Harnessing Artificial Intelligence To Reduce Phototoxicity in Live Imaging

Estibaliz Gómez-de-Mariscal, Mario Del Rosario, Joanna W Pylvänäinen +2

Fluorescence microscopy, widely used in the study of living cells, tissues, and organisms, often faces the challenge of photodamage. This is primarily caused by the interaction bet…

physics.optics2023★ 9 cited

Roadmap on Deep Learning for Microscopy

Giovanni Volpe, Carolina Wählby, Lei Tian +72

Through digital imaging, microscopy has evolved from primarily being a means for visual observation of life at the micro- and nano-scale, to a quantitative tool with ever-increasin…