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Published in: Pattern Recognition and Image Analysis 3/2020

01-07-2020 | APPLIED PROBLEMS

Determination of Statistical Criteria for an Automatic Search for Pairing Objects in Quantum Dot Images

Authors: A. A. Baev, A. A. Rozhentsov

Published in: Pattern Recognition and Image Analysis | Issue 3/2020

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Abstract

The question of the possibility of determining the distance between two closely located blinking single colloidal quantum dots using the super-resolution far-field luminescence microscopy technique is examined. The results of the numerical simulation of microscopic images of a single pair of point sources of light for various modes of luminescence blinker are presented. Using the developed algorithm with subdiffraction accuracy, the relative position of the emitters in a pair is determined for various types of blinking dynamics of single quantum dots in model and laboratory experiments.

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Metadata
Title
Determination of Statistical Criteria for an Automatic Search for Pairing Objects in Quantum Dot Images
Authors
A. A. Baev
A. A. Rozhentsov
Publication date
01-07-2020
Publisher
Pleiades Publishing
Published in
Pattern Recognition and Image Analysis / Issue 3/2020
Print ISSN: 1054-6618
Electronic ISSN: 1555-6212
DOI
https://doi.org/10.1134/S1054661820030025

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