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Created page with "== Citation == Shuo, Y.; Zhang, B.; Shen, H. & Yang, Y. NCEM: Network structural similarity metric-based clustering for noisy cryo-EM single particle images Proc. Chinese Au..."

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== Citation ==

Shuo, Y.; Zhang, B.; Shen, H. & Yang, Y.
NCEM: Network structural similarity metric-based clustering for noisy cryo-EM single particle images
Proc. Chinese Automation Congress (CAC), 2018 , 1303-1308

== Abstract ==

Cryo-EM single particle image reconstruction is
currently a powerful technique for revealing the structure of
biomacromolecules. Compared to traditional structural biology
techniques like X-Ray, it requires fewer restrictions on
specimens and is highly efficient with image processing tools. In
this single particle reconstruction protocol, the ultimate goal is
to identify different particle projection orientations. Since the
picked single particle images are highly noisy, clustering is an
important step to refrain noise by dividing images with similar
projection angles into groups and averaging these images. The
goal of clustering analysis is to assign similar particles into same
class, so similarity measurement between particles is an
important part in all clustering algorithms. Directly measuring
the similarity of two particle images will be unreliable due to
their low SNR. In this study, we propose a novel network
structural similarity metric-based clustering algorithm NCEM
for clustering the single particle images. We first construct a
complex network for all particle images, where each node
represents a particle. Then calculating the similarity between
two nodes using structural similarity. This new network-based
single particle image similarity metric has advantages over
direct measurement for its noise resistance by using the
structural information of the network. Our experiments on both
artificial and experimental datasets demonstrate its
effectiveness.

== Keywords ==

== Links ==

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8623086&tag=1

== Related software ==

== Related methods ==

== Comments ==

2018Shuo Network - Revision history

WikiSysop: Created page with "== Citation == Shuo, Y.; Zhang, B.; Shen, H. & Yang, Y. NCEM: Network structural similarity metric-based clustering for noisy cryo-EM single particle images Proc. Chinese Au..."