Research Team
Leonor is a 4th-year PhD Student in our research group. Is supervised by Ricardo Henriques, Hannah Heil and Abbelight. Worked on 2 publications. Contributed to 1 technology. Collaborates with 2 labs.
Leonor is interested in developing and applying machine-learning algorithms to guide super-resolution microscopy experiments. Her goal is to use these tools to study the dynamics of the cell division machinery.
Collaborations
Technologies
Latest publications with our group
|
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 Preprint published in bioRxiv, July 2024 Technologies: DL4MicEverywhere (), PhotoFiTT () and ZeroCostDL4Mic () Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022 DOI: 10.1101/2024.07.16.603046 |
|
|
The rise of data‐driven microscopy powered by machine learning Leonor Morgado, Estibaliz Gómez‐de‐Mariscal, Hannah S. Heil, Ricardo Henriques Review published in Journal of Microscopy, March 2024 Technologies: NanoJ () and NanoJ-Fluidics () Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022 DOI: 10.1111/jmi.13282 |
|