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A High-Throughput Image Correlation Method for Rapid Analysis of Fluorophore Photoblinking and Photobleaching Rates.
Sehayek, Simon; Gidi, Yasser; Glembockyte, Viktorija; Brandão, Hugo B; François, Paul; Cosa, Gonzalo; Wiseman, Paul W.
Afiliación
  • Sehayek S; Department of Physics , McGill University , Montreal , QC , Canada H3A 2T8.
  • Gidi Y; Department of Chemistry , McGill University , Montreal , QC , Canada H3A 0B8.
  • Glembockyte V; Department of Chemistry , McGill University , Montreal , QC , Canada H3A 0B8.
  • Brandão HB; Department of Physics , McGill University , Montreal , QC , Canada H3A 2T8.
  • François P; Department of Physics , McGill University , Montreal , QC , Canada H3A 2T8.
  • Cosa G; Department of Chemistry , McGill University , Montreal , QC , Canada H3A 0B8.
  • Wiseman PW; Department of Physics , McGill University , Montreal , QC , Canada H3A 2T8.
ACS Nano ; 13(10): 11955-11966, 2019 10 22.
Article en En | MEDLINE | ID: mdl-31513377
Super-resolution fluorescence imaging based on localization microscopy requires tuning the photoblinking properties of fluorescent dyes employed. Missing is a rapid way to analyze the blinking rates of the fluorophore probes. Herein we present an ensemble autocorrelation technique for rapidly and simultaneously measuring photoblinking and bleaching rate constants from a microscopy image time series of fluorescent probes that is significantly faster than individual single-molecule trajectory analysis approaches. Our method is accurate for probe densities typically encountered in single-molecule studies as well as for higher density systems which cannot be analyzed by standard single-molecule techniques. We also show that we can resolve characteristic blinking times that are faster than camera detector exposure times, which cannot be accessed by threshold-based single-molecule approaches due to aliasing. We confirm this through computer simulation and single-molecule imaging data of DNA-Cy5 complexes. Finally, we demonstrate that with sufficient sampling our technique can accurately recover rates from stochastic optical reconstruction microscopy super-resolution data.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS Nano Año: 2019 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: ACS Nano Año: 2019 Tipo del documento: Article