Characterizing Quantum-Dot Blinking Using Noise Power Spectra
Matthew Pelton, David Grier, and Philippe Guyot-Sionnest

TL;DR
This paper investigates the blinking behavior of quantum dots by analyzing their fluorescence noise power spectra, revealing power-law distributions of on/off times and providing a simple characterization method.
Contribution
It introduces a noise spectral analysis approach to characterize quantum dot blinking, linking spectral features to blinking dynamics.
Findings
Fluorescence fluctuations exhibit 1/f noise spectral form.
Power-law distributions of on/off times are observed.
Spectral analysis effectively characterizes blinking behavior.
Abstract
Fluctuations in the fluorescence from macroscopic ensembles of colloidal semiconductor quantum dots have the spectral form of 1/f noise. The measured power spectral density reflects the fluorescence intermittency of individual dots with power-law distributions of "on" and "off" times, and can thus serve as a simple method for characterizing such blinking behavior.
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