You are here

What Is the Best Method to Fit Time-Resolved Data? A Comparison of the Residual Minimization and the Maximum Likelihood Techniques As Applied to Experimental Time-Correlated, Single-Photon Counting Data

TitleWhat Is the Best Method to Fit Time-Resolved Data? A Comparison of the Residual Minimization and the Maximum Likelihood Techniques As Applied to Experimental Time-Correlated, Single-Photon Counting Data
Publication TypeJournal Article
Year of Publication2016
AuthorsSantra, K, Zhan, JC, Song, XY, Smith, EA, Vaswani, N, Petrich, JW
JournalJournal of Physical Chemistry B
Volume120
Pagination2484-2490
Date Published03
Type of ArticleArticle
ISBN Number1520-6106
Accession NumberWOS:000372042000045
Keywordschemistry, chi-square, criteria, exponential decays, fluorescence decay, least-squares, molecules, shot noise limit, Spectroscopy, statistical-inference, test, wavelength dependence
Abstract

10% of the mean lifetime, and even at 20 total counts there is only 20% error in the mean lifetime. The robustness of ML advocates its use for sparse data sets such as those acquired in some subdiffraction-limited microscopies, such as STED, and, more importantly, provides greater motivation for exploiting the time resolved capacities of this technique to acquire and analyze fluorescence lifetime data.

DOI10.1021/acs.jpcb.6b00154
Custom 1

Nanodomains

Alternate JournalJ. Phys. Chem. B