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Patent Searching and Data


Title:
NEURAL IMPLICIT FUNCTION FOR END-TO-END RECONSTRUCTION OF DYNAMIC CRYO-EM STRUCTURES
Document Type and Number:
WIPO Patent Application WO/2023/004558
Kind Code:
A1
Abstract:
A computer-implemented method is provided. The method includes obtaining a plurality of images representing projections of an object placed in a plurality of poses and a plurality of translations; assigning a pose embedding vector, a flow embedding vector and a contrast transfer function (CTF) embedding vector to each image; encoding, by a computer device, a machine learning model comprising a pose network, a flow network, a density network and a CTF network; training the machine learning model using the plurality of images; and reconstructing a 3D structure of the object based on the trained machine learning module.

Inventors:
WANG PEIHAO (CN)
ZHANG JIAKAI (CN)
LIU XINHANG (CN)
LIU ZHIJIE (CN)
YU JINGYI (CN)
Application Number:
PCT/CN2021/108512
Publication Date:
February 02, 2023
Filing Date:
July 26, 2021
Export Citation:
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Assignee:
UNIV SHANGHAI TECH (CN)
International Classes:
G06N3/08
Foreign References:
US20210004984A12021-01-07
US20170103161A12017-04-13
CN112465955A2021-03-09
CN113099208A2021-07-09
CN111862201A2020-10-30
US20180268601A12018-09-20
Other References:
ZHANG YUE: "Research on Particle Picking in Cryo-Electron Micrographs Based on URDnet", CHINESE MASTER'S THESES FULL-TEXT DATABASE, 11 June 2020 (2020-06-11), pages 1 - 59, XP093028599, ISSN: 1674-0246, DOI: 10.27426/d.cnki.gxtdu.2020.001348
BHAMRE TEJAL, ZHAO ZHIZHEN, SINGER AMIT: "Mahalanobis distance for class averaging of cryo-EM images", 2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) IEEE, 1 April 2017 (2017-04-01), pages 654 - 658, XP093028602, ISBN: 978-1-5090-1172-8, DOI: 10.1109/ISBI.2017.7950605
Attorney, Agent or Firm:
SHANGHAI SAVVY INTELLECTUAL PROPERTY AGENCY (CN)
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