scholarly journals Using Relion software within Scipion framework

2020 ◽  
Author(s):  
Grigory Sharov ◽  
Dustin R. Morado ◽  
Marta Carroni ◽  
José Miguel de la Rosa-Trevín
Keyword(s):  
Image Processing ◽  
User Interfaces ◽  
Published Data ◽  
New Developments ◽  
Processing Pipeline ◽  
Software Packages ◽  
File Formats ◽  
Processing Framework ◽  
Taking Care

Scipion is a modular image processing framework integrating several software packages under a unified interface while taking care of file formats and conversions. Here new developments and capabilities of the Scipion plugin for the Relion software are presented and illustrated with the image processing pipeline of published data. The user interfaces of Scipion and Relion are compared and the key differences highlighted, allowing this manuscript to be used as a guide for both new and experienced users of these software. Different streaming image processing options are also discussed demonstrating the flexibility of the Scipion framework.SynopsisAn overview of the Scipion plugin for the Relion software is presented and various capabilities of image processing within Scipion framework are discussed.

scholarly journals Using RELION software within the Scipion framework

2021 ◽  
Vol 77 (4) ◽  
Author(s):  
Grigory Sharov ◽  
Dustin R. Morado ◽  
Marta Carroni ◽  
José Miguel de la Rosa-Trevín
Keyword(s):  
Image Processing ◽  
User Interfaces ◽  
Software Package ◽  
Published Data ◽  
New Developments ◽  
Processing Pipeline ◽  
Software Packages ◽  
File Formats ◽  
Processing Framework ◽  
Taking Care

Scipion is a modular image-processing framework that integrates several software packages under a unified interface while taking care of file formats and conversions. Here, new developments and capabilities of the Scipion plugin for the widely used RELION software package are presented and illustrated with an image-processing pipeline for published data. The user interfaces of Scipion and RELION are compared and the key differences are highlighted, allowing this manuscript to be used as a guide for both new and experienced users of this software. Different on-the-fly image-processing options are also discussed, demonstrating the flexibility of the Scipion framework.

scholarly journals Image processing pipeline for synchrotron-radiation-based tomographic microscopy

2010 ◽  
Vol 17 (4) ◽  
pp. 550-559 ◽  
Author(s):  
C. Hintermüller ◽  
F. Marone ◽  
A. Isenegger ◽  
M. Stampanoni
Keyword(s):  
Image Processing ◽  
Synchrotron Radiation ◽  
Processing Pipeline

scholarly journals The Dark Energy Survey Image Processing Pipeline

2018 ◽  
Vol 130 (989) ◽  
pp. 074501 ◽  
Author(s):  
E. Morganson ◽  
R. A. Gruendl ◽  
F. Menanteau ◽  
M. Carrasco Kind ◽  
Y.-C. Chen ◽  
...  
Keyword(s):  
Image Processing ◽  
Dark Energy ◽  
Processing Pipeline ◽  
Dark Energy Survey ◽  
Energy Survey

scholarly journals THE GWAC DATA PROCESSING AND MANAGEMENT SYSTEM

2021 ◽  
Vol 53 ◽  
pp. 174-179
Author(s):  
Y. Xu ◽  
L. P. Xin ◽  
X. H. Han ◽  
H. B. Cai ◽  
L. Huang ◽  
...  
Keyword(s):  
Data Processing ◽  
User Interfaces ◽  
Management System ◽  
Scientific Data ◽  
Data Archiving ◽  
Processing Pipeline ◽  
Advanced Technologies ◽  
Single Frame ◽  
Moonless Night ◽  
Processing Requirement

GWAC will have been built an integrated FOV of 5,000 degree2 and have already built 1,800 square degree2. The limit magnitude of a 10-second exposure image in the moonless night is 16R. In each observation night, GWAC produces about 0.7TB of raw data, and the data processing pipeline generates millions of single frame alerts. We describe the GWAC Data Processing and Management System (GPMS), including hardware architecture, database, detection-filtering-validation of transient candidates, data archiving, and user interfaces for the check of transient and the monitor of the system. GPMS combines general technology and software in astronomy and computer field, and use some advanced technologies such as deep learning. Practical results show that GPMS can fully meet the scientific data processing requirement of GWAC. It can online accomplish the detection, filtering and validation of millions of transient candidates, and feedback the final results to the astronomer in real-time. During the observation from October of 2018 to December of 2019, we have already found 102 transients.

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