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

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

Department of Biomedical Engineering

Northwestern University

Research output: Contribution to journal › Conference article › peer-review

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
Journal	Optics InfoBase Conference Papers
State	Published - 2022
Event	Computational Optical Sensing and Imaging, COSI 2022 - Vancouver, Canada Duration: Jul 11 2022 → Jul 15 2022

Cite this

@article{a359693e588d4a269e9a6197419e87f8,

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 = "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",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

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

AU - Gaire, Sunil Kumar

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.

UR - https://www.scopus.com/pages/publications/85139162597

M3 - Conference article

AN - SCOPUS:85139162597

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

T2 - Computational Optical Sensing and Imaging, COSI 2022

Y2 - 11 July 2022 through 15 July 2022

ER -

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

Abstract

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