Literature DB >> 25549009

Autocorrelation analysis for the unbiased determination of power-law exponents in single-quantum-dot blinking.

Julien Houel1, Quang T Doan, Thomas Cajgfinger, Gilles Ledoux, David Amans, Antoine Aubret, Agnès Dominjon, Sylvain Ferriol, Rémi Barbier, Michel Nasilowski, Emmanuel Lhuillier, Benoît Dubertret, Christophe Dujardin, Florian Kulzer.   

Abstract

We present an unbiased and robust analysis method for power-law blinking statistics in the photoluminescence of single nanoemitters, allowing us to extract both the bright- and dark-state power-law exponents from the emitters' intensity autocorrelation functions. As opposed to the widely used threshold method, our technique therefore does not require discriminating the emission levels of bright and dark states in the experimental intensity timetraces. We rely on the simultaneous recording of 450 emission timetraces of single CdSe/CdS core/shell quantum dots at a frame rate of 250 Hz with single photon sensitivity. Under these conditions, our approach can determine ON and OFF power-law exponents with a precision of 3% from a comparison to numerical simulations, even for shot-noise-dominated emission signals with an average intensity below 1 photon per frame and per quantum dot. These capabilities pave the way for the unbiased, threshold-free determination of blinking power-law exponents at the microsecond time scale.

Entities:  

Keywords:  colloidal quantum dots; intensity autocorrelation; nonergodicity; photoluminescence; power-law blinking

Year:  2015        PMID: 25549009     DOI: 10.1021/nn506598t

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  3 in total

1.  Intermittency of CsPbBr3 Perovskite Quantum Dots Analyzed by an Unbiased Statistical Analysis.

Authors:  Isabelle M Palstra; Ilse Maillette de Buy Wenniger; Biplab K Patra; Erik C Garnett; A Femius Koenderink
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2021-05-20       Impact factor: 4.126

2.  A Python Toolbox for Unbiased Statistical Analysis of Fluorescence Intermittency of Multilevel Emitters.

Authors:  Isabelle M Palstra; A Femius Koenderink
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2021-05-20       Impact factor: 4.126

3.  Spectral Analysis of ATP-Dependent Mechanical Vibrations in T Cells.

Authors:  Ishay Wohl; Eilon Sherman
Journal:  Front Cell Dev Biol       Date:  2021-06-10
  3 in total

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