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10 March 2020 Pushing the limits of fluorescence microscopy with adaptive imaging and machine learning (Conference Presentation)
Loic Royer
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Proceedings Volume 11250, High-Speed Biomedical Imaging and Spectroscopy V; 112500V (2020) https://doi.org/10.1117/12.2542236
Event: SPIE BiOS, 2020, San Francisco, California, United States
Abstract
Fluorescence microscopy lets biologist see and understand the intricate machinery at the heart of living systems and has led to numerous discoveries. Any technological progress towards improving image quality would extend the range of possible observations and would consequently open up the path to new findings. I will show how modern machine learning and smart robotic microscopes can push the boundaries of observability. Moreover, I will demonstrate how smart microscopy techniques can achieve the full optical resolution of light-sheet microscopes — instruments capable of capturing the entire developmental arch of an embryo from a single cell to a fully formed motile organism.
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Loic Royer "Pushing the limits of fluorescence microscopy with adaptive imaging and machine learning (Conference Presentation)", Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500V (10 March 2020); https://doi.org/10.1117/12.2542236
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KEYWORDS
Microscopy
Luminescence
Machine learning
Microscopes
Organisms
Spatial resolution
Heart
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