Abstract
We present a deep-learning-based computational approach for multicolor spectroscopic single-molecule localization microscopy. Artificial neural networks trained on simulated data to localize the stochastically blinking single-molecules and enhance the corresponding emission spectra show improved simultaneous multicolor imaging.
© 2022 The Author(s)
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