当前位置:
X-MOL 学术
›
Pattern Recognit. Image Anal.
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Determination of Statistical Criteria for an Automatic Search for Pairing Objects in Quantum Dot Images
Pattern Recognition and Image Analysis Pub Date : 2020-09-15 , DOI: 10.1134/s1054661820030025 A. A. Baev , A. A. Rozhentsov
中文翻译:
自动搜索量子点图像中的配对对象的统计标准的确定
更新日期:2020-09-15
Pattern Recognition and Image Analysis Pub Date : 2020-09-15 , DOI: 10.1134/s1054661820030025 A. A. Baev , A. A. Rozhentsov
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.中文翻译:
自动搜索量子点图像中的配对对象的统计标准的确定