Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning
Conference on Lasers and Electro-Optics（2022）
Abstract
We report a deep-learning-based imaging technique to predict 3D multiplexed fluorescence signals based on label-free refractive index measurements. We demonstrate the retrieval of specific subcellular information without exogenous labeling or staining, enabling multiplexed molecular imaging across various spatiotemporal scales.
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Key words
endogenous subcellular dynamics,deep learning,label-free
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