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

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

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

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

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)
State	Published - 2022

Cite this

@inproceedings{db4c289b414347c0929fe2e451f85fc9,

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 = "Sunil Gaire and Ethan Flowerday and Jane Frederick and Ruyi Gong and Sravya Prabhala and Leslie Ying and Zhang, \{Hao F\} and Vadim Backman",

year = "2022",

language = "English",

booktitle = "Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)",

}

TY - GEN

T1 - Deep Learning-based Spectroscopic Single-molecule Localization Microscopy for Simultaneous Multicolor Imaging

AU - Gaire, Sunil

AU - Flowerday, Ethan

AU - Frederick, Jane

AU - Gong, Ruyi

AU - Prabhala, Sravya

AU - Ying, Leslie

AU - Zhang, Hao F

AU - Backman, Vadim

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

M3 - Conference contribution

BT - Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)

ER -

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

Abstract

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