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A Mean Shift Algorithm for Drift Correction in Localization Microscopy

View ORCID ProfileFrank J Fazekas, View ORCID ProfileThomas R Shaw, View ORCID ProfileSumin Kim, Ryan A Bogucki, View ORCID ProfileSarah L Veatch
doi: https://doi.org/10.1101/2021.05.07.443176
Frank J Fazekas
1Program in Biophysics, University of Michigan, Ann Arbor, MI
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Thomas R Shaw
1Program in Biophysics, University of Michigan, Ann Arbor, MI
2Program in Applied Physics, University of Michigan, Ann Arbor, MI
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Sumin Kim
3Cellular and Molecular Biology Graduate Program, University of Michigan, Ann Arbor, MI
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Ryan A Bogucki
1Program in Biophysics, University of Michigan, Ann Arbor, MI
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Sarah L Veatch
1Program in Biophysics, University of Michigan, Ann Arbor, MI
2Program in Applied Physics, University of Michigan, Ann Arbor, MI
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  • ORCID record for Sarah L Veatch
  • For correspondence: sveatch@umich.edu
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Abstract

Single molecule localization microscopy (SMLM) techniques transcend the diffraction limit of visible light by localizing isolated emitters sampled stochastically. This time-lapse imaging necessitates long acquisition times, over which sample drift can become large relative to the localization precision. Here we present a novel, efficient, and robust method for estimating drift using a simple peak-finding algorithm based on mean shifts that is effective for SMLM in 2 or 3 dimensions.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • https://github.com/VeatchLab/Mean-Shift-Drift-Correction

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 07, 2021.
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A Mean Shift Algorithm for Drift Correction in Localization Microscopy
Frank J Fazekas, Thomas R Shaw, Sumin Kim, Ryan A Bogucki, Sarah L Veatch
bioRxiv 2021.05.07.443176; doi: https://doi.org/10.1101/2021.05.07.443176
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A Mean Shift Algorithm for Drift Correction in Localization Microscopy
Frank J Fazekas, Thomas R Shaw, Sumin Kim, Ryan A Bogucki, Sarah L Veatch
bioRxiv 2021.05.07.443176; doi: https://doi.org/10.1101/2021.05.07.443176

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