Image Distillation Based Screening for X-ray Crystallography Diffraction Images

被引：4

作者：

Chen, Lingyao ^{[1
]}

Xu, Kang ^{[2
]}

Zheng, Xiaoying ^{[2
]}

Zhu, Yongxin ^{[2
]}

Jing, Yi ^{[1
,2
]}

机构：

[1] Shanghai Informat Technol Res Ctr, Shanghai 201210, Peoples R China

[2] Chinese Acad Sci, Shanghai Adv Res Inst, Shanghai 201210, Peoples R China

来源：

19TH IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED PROCESSING WITH APPLICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2021) | 2021年

基金：

中国国家自然科学基金;

关键词：

Deep Learning; Neural Networks; Bragg Spot; serial crystallography;

D O I：

10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00077

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The modern synchrotron radiation facilities are producing massive diffraction images, which present a severe problem for data processing due to the high dimensionality of imaging data. Feature recognition and selection based deep learning methods have been developed to analyze data automatically. One crucial step is to use AI to screen out the diffraction images without Bragg spots. This paper proposes a feature distillation based approach for screening. It helps to reduce over 40% raw data volume and greatly alleviates the post processing workload faced by scientists.

引用

页码：517 / 521

页数：5

共 25 条

[1] Dong G., 2009, IEEE C BIOINF BIOM E, P1
[2] Optimal resource allocation using reinforcement learning for IoT content-centric services
Gai, Keke
Qiu, Meikang
[J]. APPLIED SOFT COMPUTING, 2018, 70 : 12 - 21
[3] Reinforcement Learning-based Content-Centric Services in Mobile Sensing
Gai, Keke
Qiu, Meikang
[J]. IEEE NETWORK, 2018, 32 (04): : 34 - 39
[4] Resource Management in Sustainable Cyber-Physical Systems Using Heterogeneous Cloud Computing
Gai, Keke
Qiu, Meikang
Zhao, Hui
Sun, Xiaotong
[J]. IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING, 2018, 3 (02): : 60 - 72
[5] Proactive Attribute-based Secure Data Schema for Mobile Cloud in Financial Industry
Gai, Keke
Qiu, Meikang
Thuraisingham, Bhavani
Tao, Lixin
[J]. 2015 IEEE 17TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS, 2015 IEEE 7TH INTERNATIONAL SYMPOSIUM ON CYBERSPACE SAFETY AND SECURITY, AND 2015 IEEE 12TH INTERNATIONAL CONFERENCE ON EMBEDDED SOFTWARE AND SYSTEMS (ICESS), 2015, : 1332 - 1337
[6] DeepCentering: fully automated crystal centering using deep learning for macromolecular crystallography
Ito, Sho
Ueno, Go
Yamamoto, Masaki
[J]. JOURNAL OF SYNCHROTRON RADIATION, 2019, 26 : 1361 - 1366
[7] Jiayin Li, 2010, Proceedings 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology (WI-IAT), P561, DOI 10.1109/WI-IAT.2010.30
[8] A convolutional neural network-based screening tool for X-ray serial crystallography
Ke, Tsung-Wei
Brewster, Aaron S.
Yu, Stella X.
Ushizima, Daniela
Yang, Chao
Sauter, Nicholas K.
[J]. JOURNAL OF SYNCHROTRON RADIATION, 2018, 25 : 655 - 670
[9] A simple function embedding approach for binary similarity detection
Li, Weilong
Jin, Shuyuan
[J]. 2020 IEEE INTL SYMP ON PARALLEL & DISTRIBUTED PROCESSING WITH APPLICATIONS, INTL CONF ON BIG DATA & CLOUD COMPUTING, INTL SYMP SOCIAL COMPUTING & NETWORKING, INTL CONF ON SUSTAINABLE COMPUTING & COMMUNICATIONS (ISPA/BDCLOUD/SOCIALCOM/SUSTAINCOM 2020), 2020, : 570 - 577
[10] Lin M., 2014, NETWORK NETWORK INT

← 1 2 3 →