Template-free 2D particle fusion in localization microscopy

Hamidreza Heydarian; Florian Schueder; Maximilian T. Strauss; Ben van Werkhoven; Mohamadreza Fazel; Keith A. Lidke; Ralf Jungmann; Sjoerd Stallinga; Bernd Rieger

doi:10.1038/s41592-018-0136-6

Template-free 2D particle fusion in localization microscopy

Hamidreza Heydarian, Florian Schueder, Maximilian T. Strauss, Ben van Werkhoven, Mohamadreza Fazel, Keith A. Lidke, Ralf Jungmann, Sjoerd Stallinga, Bernd Rieger^*

^*Corresponding author for this work

ImPhys/Imaging Physics

Research output: Contribution to journal › Article › Scientific › peer-review

43 Citations (Scopus)

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Abstract

Methods that fuse multiple localization microscopy images of a single structure can improve signal-to-noise ratio and resolution, but they generally suffer from template bias or sensitivity to registration errors. We present a template-free particle-fusion approach based on an all-to-all registration that provides robustness against individual misregistrations and underlabeling. We achieved 3.3-nm Fourier ring correlation (FRC) image resolution by fusing 383 DNA origami nanostructures with 80% labeling density, and 5.0-nm resolution for structures with 30% labeling density.

Original language	English
Pages (from-to)	781-784
Journal	Nature Methods
Volume	15
DOIs	https://doi.org/10.1038/s41592-018-0136-6
Publication status	Published - 2018

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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title = "Template-free 2D particle fusion in localization microscopy",

abstract = "Methods that fuse multiple localization microscopy images of a single structure can improve signal-to-noise ratio and resolution, but they generally suffer from template bias or sensitivity to registration errors. We present a template-free particle-fusion approach based on an all-to-all registration that provides robustness against individual misregistrations and underlabeling. We achieved 3.3-nm Fourier ring correlation (FRC) image resolution by fusing 383 DNA origami nanostructures with 80% labeling density, and 5.0-nm resolution for structures with 30% labeling density.",

author = "Hamidreza Heydarian and Florian Schueder and Strauss, {Maximilian T.} and {van Werkhoven}, Ben and Mohamadreza Fazel and Lidke, {Keith A.} and Ralf Jungmann and Sjoerd Stallinga and Bernd Rieger",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.",

year = "2018",

doi = "10.1038/s41592-018-0136-6",

language = "English",

volume = "15",

pages = "781--784",

journal = "Nature Methods",

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AU - Heydarian, Hamidreza

AU - Schueder, Florian

AU - Strauss, Maximilian T.

AU - van Werkhoven, Ben

AU - Fazel, Mohamadreza

AU - Lidke, Keith A.

AU - Jungmann, Ralf

AU - Stallinga, Sjoerd

AU - Rieger, Bernd

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2018

Y1 - 2018

N2 - Methods that fuse multiple localization microscopy images of a single structure can improve signal-to-noise ratio and resolution, but they generally suffer from template bias or sensitivity to registration errors. We present a template-free particle-fusion approach based on an all-to-all registration that provides robustness against individual misregistrations and underlabeling. We achieved 3.3-nm Fourier ring correlation (FRC) image resolution by fusing 383 DNA origami nanostructures with 80% labeling density, and 5.0-nm resolution for structures with 30% labeling density.

AB - Methods that fuse multiple localization microscopy images of a single structure can improve signal-to-noise ratio and resolution, but they generally suffer from template bias or sensitivity to registration errors. We present a template-free particle-fusion approach based on an all-to-all registration that provides robustness against individual misregistrations and underlabeling. We achieved 3.3-nm Fourier ring correlation (FRC) image resolution by fusing 383 DNA origami nanostructures with 80% labeling density, and 5.0-nm resolution for structures with 30% labeling density.

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Template-free 2D particle fusion in localization microscopy

Abstract

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