Technology
PhotoFiTT is a quantitative framework for assessing phototoxicity in live-cell microscopy experiments. This approach leverages machine learning and cell cycle dynamics to analyze mitotic timing, cell size changes, and overall cellular activity. PhotoFiTT enables researchers to evaluate the impact of light exposure on living cells during imaging, helping to optimize experimental conditions and ensure the integrity of biological observations.
Publications featuring PhotoFiTT
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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 Preprint published in bioRxiv, January 2024 Technologies: DL4MicEverywhere, PhotoFiTT and ZeroCostDL4Mic Funded by: CZI, EMBO, ERC, FCT, H2021 and H2022 DOI: 10.1101/2024.07.16.603046 |
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Funding contributing to PhotoFiTT
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Enabling Live-Cell 4D Super-Resolution Microscopy Guided by Artificial Intelligence Ricardo Henriques Alias: SelfDriving4DSR Funded by: ERC - Consolidator Duration: September 2021 - September 2026 Publications: 28 |