@inproceedings{c5c404d5270f4be1ae245a31f91d0c45,
title = "Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging",
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.",
author = "Gaire, {Sunil Kumar} and Ethan Flowerday and Jane Frederick and Ruyi Gong and Sravya Prabhala and Leslie Ying and Zhang, {Hao F.} and Vadim Backman",
note = "Funding Information: This research was supported in part by the grants U54CA268084, EFMA-1830961 and R01CA228272. Publisher Copyright: {\textcopyright} 2022 The Author(s); Computational Optical Sensing and Imaging, COSI 2022 ; Conference date: 11-07-2022 Through 15-07-2022",
year = "2022",
language = "English (US)",
series = "Optics InfoBase Conference Papers",
publisher = "Optica Publishing Group (formerly OSA)",
booktitle = "Computational Optical Sensing and Imaging, COSI 2022",
}