IOTA: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
|||
| Line 2: | Line 2: | ||
== IOTA: '''i'''ntegration '''o'''ptimization, '''t'''riage and '''a'''nalysis == | == '''''IOTA''''': '''i'''ntegration '''o'''ptimization, '''t'''riage and '''a'''nalysis == | ||
---- | ---- | ||
IOTA is a user-friendly front end for the ''cctbx.xfel'' suite of serial diffraction data processing programs. It is comprised of three main modules: | ''IOTA'' is a user-friendly front end for the ''cctbx.xfel'' suite of serial diffraction data processing programs. It is comprised of three main modules: | ||
1. Raw image import, conversion, pre-processing and triage | 1. Raw image import, conversion, pre-processing and triage | ||
| Line 12: | Line 12: | ||
3. Analysis of the integrated dataset | 3. Analysis of the integrated dataset | ||
These modules are united by a command-line interface and are run in sequence. The user can point IOTA towards a single diffraction image, a folder of images, a list of image paths or a modified script file. If no script file is supplied, IOTA will automatically generate reasonable defaults (currently optimized for a MARCCD detector, but also usable with Pilatus detectors). | These modules are united by a command-line interface and are run in sequence. The user can point ''IOTA'' towards a single diffraction image, a folder of images, a list of image paths or a modified script file. If no script file is supplied, ''IOTA'' will automatically generate reasonable defaults (currently optimized for a MARCCD detector, but also usable with Pilatus detectors). | ||
== Running ''''IOTA'''' in Auto Mode == | |||
Revision as of 02:26, 12 November 2015
IOTA: integration optimization, triage and analysis
IOTA is a user-friendly front end for the cctbx.xfel suite of serial diffraction data processing programs. It is comprised of three main modules:
1. Raw image import, conversion, pre-processing and triage 2. Image indexing and integration using cctbx.xfel modules (with optimization of spot-finding parameters) 3. Analysis of the integrated dataset
These modules are united by a command-line interface and are run in sequence. The user can point IOTA towards a single diffraction image, a folder of images, a list of image paths or a modified script file. If no script file is supplied, IOTA will automatically generate reasonable defaults (currently optimized for a MARCCD detector, but also usable with Pilatus detectors).