CORDIS Project
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This project develops CyberSco.Py, a software that uses real-time image analysis to enhance fluorescence microscopy. By automating adjustments during imaging, it aims to improve the study of complex cellular processes, making microscopy more efficient and effective in biological research.
Timelapse fluorescence microscopy imaging is routinely used in quantitative cell biology.
However, microscopes are passive systems and are still very limited in their operating capacity which limits in several ways our ability to identify and image complex biological events in real time and at the proper 4D scales.
They could become much more powerful investigation systems for the life science if they were endowed with user-friendly, unsupervised decision-making algorithms, transforming microsco…
CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
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