Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging

Sunil Kumar Gaire; Ethan Flowerday; Jane Frederick; Ruyi Gong; Sravya Prabhala; Leslie Ying; Hao F. Zhang; Vadim Backman

doi:10.1364/COSI.2022.CTu5F.4

Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
Technical Digest Series (Optica Publishing Group, 2022),
paper CTu5F.4
•https://doi.org/10.1364/COSI.2022.CTu5F.4

Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging

Sunil Kumar Gaire, Ethan Flowerday, Jane Frederick, Ruyi Gong, Sravya Prabhala, Leslie Ying, Hao F. Zhang, and Vadim Backman

Computational Optical Sensing and Imaging 2022

Vancouver, British Columbia Canada
11–15 July 2022
ISBN: 978-1-957171-09-8

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Advances in Computational Microscopy II (CTu5F)

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S. K. Gaire, E. Flowerday, J. Frederick, R. Gong, S. Prabhala, L. Ying, H. F. Zhang, and V. Backman, "Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging," in Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP), Technical Digest Series (Optica Publishing Group, 2022), paper CTu5F.4.

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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.

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