Correction of multiple-blinking artifacts in photoactivated localization microscopy

Louis G Jensen, Tjun Yee Hoh, David J Williamson, Juliette Griffié, Daniel Sage, Patrick Rubin-Delanchy, Dylan M Owen

Research output: Contribution to journalArticlepeer-review

Abstract

Photoactivated localization microscopy (PALM) produces an array of localization coordinates by means of photoactivatable fluorescent proteins. However, observations are subject to fluorophore multiple blinking and each protein is included in the dataset an unknown number of times at different positions, due to localization error. This causes artificial clustering to be observed in the data. We present a 'model-based correction' (MBC) workflow using calibration-free estimation of blinking dynamics and model-based clustering to produce a corrected set of localization coordinates representing the true underlying fluorophore locations with enhanced localization precision, outperforming the state of the art. The corrected data can be reliably tested for spatial randomness or analyzed by other clustering approaches, and descriptors such as the absolute number of fluorophores per cluster are now quantifiable, which we validate with simulated data and experimental data with known ground truth. Using MBC, we confirm that the adapter protein, the linker for activation of T cells, is clustered at the T cell immunological synapse. [Abstract copyright: © 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.]
Original languageEnglish
Pages (from-to)594-602
Number of pages9
JournalNature Methods
Volume19
Issue number5
Early online date11 May 2022
DOIs
Publication statusPublished - May 2022
Externally publishedYes

Keywords

  • Fluorescence imaging
  • Super-resolution microscopy

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