A Fast Point Spread Function for Particle in Fluorescent Images with GPU Acceleration

被引：0

作者：

Cheng, Yong ^{[1
]}

Wang, Hai

Zhang, Heng ^{[2
]}

机构：

[1] Beijing Univ Chem Technol, CIST, Beijing 100029, Peoples R China

[2] Beijing Univ, Chem Technol, Beijing 100871, Peoples R China

来源：

FIFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2013) | 2013年 / 8878卷

关键词：

Microscopy; PSF; GPU; Lervenberg-Marquardt Algorithm;

D O I：

10.1117/12.2030885

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

While the rapid development in optical and storage technique enable us to easily acquire large amount of microscopy images, it is still a great challenge for biological researchers to analyze these huge data and draw meaningful and statistically sound conclusions. In this paper, we take single particle point spread function fitting problem into consideration and implement fast algorithm on the CPU + GPU heterogeneous architecture. Our approach is tested on real-world dataset and achieve about 23 similar to 40x faster than the traditional fitting algorithm.

引用

页数：6

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