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Proceedings Paper

A fast point spread function for particle in fluorescent images with GPU acceleration
Author(s): Yong Cheng; Hai Wang; Heng Zhang
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Paper Abstract

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 ~40x faster than the traditional fitting algorithm.

Paper Details

Date Published: 19 July 2013
PDF: 6 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88780M (19 July 2013); doi: 10.1117/12.2030885
Show Author Affiliations
Yong Cheng, Beijing Univ. of Chemical Technology (China)
Hai Wang, Beijing Univ. of Chemical Technology (China)
Heng Zhang, Beijing Univ. of Chemical Technology (China)


Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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