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Interaction between intracellular compartments is based on complex vesicular transport processes. Fluorescence based techniques now reach single molecule resolution in living cells. To avoid fluorophore photobleaching limitations, quantitative phase imaging techniques are conventionally used to produce long-term high contrast cell images.
We used an improved wave front sensing set-up called QWLSI-HD, which resolution is high enough to reach nanometric resolution for vesicle localization.
We also added specificity to quantitative phase imaging by training artificial intelligence algorithms to recognize intracellular vesicles. We compared performances between the algorithms and also between fixed and living samples.
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