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Session Overview | |
| Location: virtual |
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| 9:00am - 6:30pm |
School - Electron: Electron Crystallography School Location: virtual Chair: Xiaodong Zou Chair: Louisa Meshi Chair: Lukáš Palatinus Website - virtual Videos I: Introduction -
Kolb: ADT -
Hovmöller: RED Videos II: Mugnaiolli: From precession... - Abrahams: Continuos rotation... - Yonekura: 3D ED ... Videos III: Hadermann: X-ray and electron... - Hovmoller: Symmetry... - Meshi: Unit cell ... Videos IV: Xu: Sample preparation... - Nannenga: Data collection... - Willhammar: cRed data collection ... Videos V: Gonen: MicroEd... - Sponsors |
Workshop - Data: When should small molecule crystallographers publish raw diffraction data? Location: virtual Chair: Amy Sarjeant Chair: Simon John Coles Website - virtual |
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| 9:00am - 4:00pm |
Workshop CCDC/FIZ: CSD and ICSD workshop Location: virtual Chair: Suzanna Ward Chair: Annett Steudel |
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| 9:00am - 6:30pm |
School - Electron 2: Electron Crystallography School Location: virtual Chair: Xiaodong Zou Chair: Louisa Meshi Chair: Lukáš Palatinus Videos I: Waterman: ED data processing... -
Waterman: Dials... Videos II: Diederichs: XDS software... - Smeets: Serial rotation... Videos III: Sun: Phasing... - Palatinus: Kinematic and dynamic... - Puschmann: Olex2... Videos IV: Uson: Phasing...macromolecules - McCoy: Phase... - Keegan: CCP4... |
SEC - Posters: Electron Crystallography School - Poster Location: virtual Chair: Xiaodong Zou Chair: Louisa Meshi Chair: Lukáš Palatinus |
| Workshop - Data2: When should small molecule crystallographers publish raw diffraction data? Location: virtual Chair: Amy Sarjeant Chair: Simon John Coles |
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| 8:30am - 4:30pm |
Workshop - Olex: Olex2 workshop Location: virtual Chair: Horst Puschmann |
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| 9:00am - 5:00pm |
School - Electron 3: Electron Crystallography School Location: virtual Chair: Xiaodong Zou Chair: Louisa Meshi Chair: Lukáš Palatinus Videos I: Murshudov: Refinement of macromolecular... -
Yamashita: Coot... Videos III: Palatinus: PETS and Jana 2006... - Palatinus: Dynamic refinement... Videos IV: Afonine: Phenix... - Afonine: Phenix-sof demo... QA. |
Workshop - ICDD: ICDD workshop Location: virtual Chair: Thomas Nelson Blanton Chair: Jose Miguel Delgado Virtual workshop |
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| 9:00am - 1:00pm |
Workshop - APEX: APEX4 Workshop (Bruker) Location: virtual Website - virtual |
| 9:00am - 3:00pm |
Workshop - MX: MX Raw image data and metadata, formats and validation Location: virtual |
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| 5:10pm - 6:10pm |
Workshop - High Score: Easy automation and more accurate analysis with High Score Plus (V4) Location: virtual Website - virtual |
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| 1:00pm - 2:30pm |
ECA - SIG-3: ECA - SIG-3 Aperiodic Crystals Location: virtual |
| 2:00pm - 2:45pm |
ECA - GIG-3: ECA - GIG-3 Education in Crystallography Location: virtual |
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| 1:00pm - 2:30pm |
ECA - SIG-13: ECA - SIG-13 Molecular Structure and Chemical Properties Location: virtual |
ECA - SIG-9: ECA - SIG-9 Crystallographic Computing Location: virtual |
| 1:45pm - 2:45pm |
ECA - SIG-7: ECA - SIG-7 Molecular Interaction and Recognition Location: virtual |
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| 2:00pm - 6:00pm |
Workshop - Resolution matters: Resolution Matters:- Discover the pathway from a high resolution 2D scan to the best phase analysis (Panalytical) Location: virtual Join us on 25th August 2pm with Alejandro Rodríguez Navarro Register Here: www.malvernpanalytical.com/IUCr2021
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| 2:00pm - 8:00pm |
School - Computing: Crystallographic Computing School Location: virtual Chair: Martin Lutz Chair: Claudia Millán The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data. |
School - ePDF: School on electron PDF (pair-distribution function) Location: virtual Chair: Tatiana Gorelik virtual meeting |
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| 2:00pm - 8:00pm |
School - Computing 2: Crystallographic Computing School Location: virtual Chair: Martin Lutz Chair: Claudia Millán The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data. |
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| 2:00pm - 8:00pm |
School - Computing 3: Crystallographic Computing School Location: virtual Chair: Martin Lutz Chair: Claudia Millán The Computing School will cover aspects that are relevant to all fields of crystallographic computing. As the main topic we will focus on the determination and the use of eigenvectors and eigenvalues and their applications in the different fields of crystallography. Applications range from the well known principal component analysis and other statistical and machine learning techniques to modelling using Markov processes, or optimization of functions. Fields such as image processing, information theory, and crystallography make use of these in many of its most fundamental methods. It impacts directly macromolecular crystallography in both phasing and refinement aspects. In small molecule crystallography and materials science research, it allows the understanding of very fundamental physical properties of matter. In this school, our aim is to learn and teach about this general topic from the computing aspect of the fundamentals, but also the computing tools and the data. |