A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography-Reference-Cited by-同舟云学术

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A hybrid clustering algorithm for multiple-source resolving in bioluminescence tomography

Published:2017-11-20 Issue:4 Volume:11 Page:e201700056
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:J. Biophotonics

Author:

Guo Hongbo¹²,Yu Jingjing³,Hu Zhenhua²,Yi Huangjian¹,Hou Yuqing¹,He Xiaowei¹^ORCID

Affiliation:

1. The School of Information Sciences and Technology; Northwest University; Xi’an China

2. Chinese Academy of Sciences, Key Laboratory of Molecular Imaging; Institute of Automation; Beijing China

3. The School of Physics and Information Technology; Shaanxi Normal University; Xi’an China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/jbio.201700056/fullpdf

Reference47 articles.

1. Deep Tissue Optical and Optoacoustic Molecular Imaging Technologies for Pre-Clinical Research and Drug Discovery

2. IMAGING SCATTERING MEDIA FROM A DISTANCE: THEORY AND APPLICATIONS OF NONCONTACT OPTICAL TOMOGRAPHY

3. Analytical reconstruction of the bioluminescent source with priors

4. Small animal fluorescence and bioluminescence tomography: a review of approaches, algorithms and technology update

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