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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)594-602
Number of pages9
Issue number5
Publication statusPublished - May 2022


Dive into the research topics of 'Correction of multiple-blinking artifacts in photoactivated localization microscopy'. Together they form a unique fingerprint.

Cite this