Title:
SYSTEMS AND METHODS FOR ELECTRON CRYOTOMOGRAPHY RECONSTRUCTION
Document Type and Number:
WIPO Patent Application WO/2023/004560
Kind Code:
A1
Abstract:
Described herein are methods and non-transitory computer-readable media of a computing system configured to obtain a plurality of images of an object from a plurality of orientations at a plurality of times. A machine learning model is encoded to represent a continuous density field of the object that maps a spatial coordinate to a density value. The machine learning model comprises a deformation module configured to deform the spatial coordinate in accordance with a timestamp and a trained deformation weight. The machine learning model further comprises a neural radiance module configured to derive the density value in accordance with the deformed spatial coordinate, the timestamp, a direction, and a trained radiance weight. The machine learning model is trained using the plurality of images. A three-dimensional structure of the object is constructed based on the trained machine learning model.
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Inventors:
WANG PEIHAO (CN)
ZHANG JIAKAI (CN)
LIU XINHANG (CN)
LIU ZHIJIE (CN)
YU JINGYI (CN)
ZHANG JIAKAI (CN)
LIU XINHANG (CN)
LIU ZHIJIE (CN)
YU JINGYI (CN)
Application Number:
PCT/CN2021/108514
Publication Date:
February 02, 2023
Filing Date:
July 26, 2021
Export Citation:
Assignee:
UNIV SHANGHAI TECH (CN)
International Classes:
G06T7/00
Foreign References:
| CN110032761A | 2019-07-19 | |||
| CN109166133A | 2019-01-08 | |||
| US20170103161A1 | 2017-04-13 |
Attorney, Agent or Firm:
SHANGHAI SAVVY INTELLECTUAL PROPERTY AGENCY (CN)
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