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PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260921T131522Z
DTSTART:20270210T090000Z
DTEND:20270211T170000Z
SUMMARY:Training course on Correlative Imaging
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}o54-mub9pno
 o-qd94pu
DESCRIPTION:General course information\n\nCorrelative imaging combines da
 ta from multiple acquisition techniques and length scales to build a mor
 e complete picture of a specimen than any single modality can provide on
  its own. This is particularly powerful when combining 3D X-ray or neutr
 on tomography with high-resolution 2D or 3D techniques such as FIB-SEM\,
  allowing researchers to link bulk-scale structural context with fine\, 
 local microstructural detail. However\, correlating datasets acquired at
  different resolutions\, on different instruments\, and sometimes with d
 ifferent contrast mechanisms\, introduces a range of practical challenge
 s: alignment\, registration\, normalisation\, and interpretation. This c
 ourse covers the acquisition principles and the practical Avizo-based wo
 rkflows needed to bring these datasets together reliably.\n\n\nOrganisat
 ion\n\nThe training is organised in two parts: theory (0.5 day)\, coveri
 ng an introduction to acquisition techniques and the principles of corre
 lative workflows\, and computer-based practical work using the Thermo Sc
 ientific™ Amira-Avizo Software 3D (1.5 day). At the end of the course\, 
 users are invited to practise on their own dataset with the help of the 
 trainers. The attendees are invited to bring their own laptop (an Avizo 
 license will be provided for the training).\n\n\nPrerequisites\n\nPrior 
 attendance of a foundational tomography/image processing course (e.g. “V
 isualisation\, AI-Assisted Analysis and Quantification of Tomographic Da
 tasets”) is recommended\, or equivalent working experience with 3D image
  processing.\n\n\nWho should attend?\n\nThis course is aimed at research
 ers who already have some familiarity with 3D image processing and who w
 ant to combine multiple imaging modalities and/or resolutions in their a
 nalysis workflow. It is particularly relevant to those working with FIB-
 SEM\, multi-scale tomography\, neutron/X-ray correlative studies\, or an
 y workflow requiring registration of datasets from different instruments
 .\n\n\nLearning outcomes\n\nIntroduction to acquisition techniques\n•	Ov
 erview of X-ray tomography (lab and synchrotron) and its resolution/fiel
 d-of-view trade-offs\n•	Overview of neutron tomography: complementary co
 ntrast mechanisms to X-ray (e.g. sensitivity to light elements/hydrogeno
 us materials)\, typical facilities\, and where it adds value in a correl
 ative study\n•	Overview of FIB-SEM acquisition: serial sectioning princi
 ples\, imaging modes\, and typical artefacts\n•	Other correlative modali
 ties (e.g. SEM/EDS\, confocal\, other 2D imaging) and where they fit int
 o a correlative workflow\n•	Understanding contrast mechanisms across mod
 alities and their implications for registration and interpretation\n\nFI
 B-SEM data processing\n•	Import and inspection of FIB-SEM image stacks\n
 •	Alignment correction of serial sections (drift\, curtaining\, and misa
 lignment between slices)\n•	Tilt correction\n•	Grayscale normalisation a
 cross slices and datasets\n\nWorking with multi-resolution and multi-mod
 ality data\n•	Handling datasets of different resolutions within the same
  project\n•	Resampling strategies and their impact on data fidelity\n•	R
 egistration of datasets from different modalities (rigid and non-rigid a
 pproaches)\, including X-ray/neutron tomography pairs and tomography/FIB
 -SEM pairs\n•	Defining and extracting regions of interest for correlativ
 e analysis (e.g. locating a FIB-SEM ROI within a lower-resolution tomogr
 aphy volume)\n•	Quality-checking and visualising correlative results\n\n
 Practical workflows\n•	End-to-end example: from lower-resolution tomogra
 phy to FIB-SEM ROI\, aligned and registered\n•	Illustration of quantific
 ation from multiple modalities\n•	Working on your own dataset with train
 er support\n\nHow to register: \nPlease contact Sarah Batts if you wish 
 to sign up for this course (sarah.batts@manchester.ac.uk). Places are li
 mited to 10 attendees per course. Courses generally fill up very quickly
  and places are allocated on a first come first serve basis.  If there i
 s low attendance\, a course may be cancelled with a month’s notice.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Rutherford Appleton Laboratory Visitors Centre - Hamilton Room\,
  Fermi Avenue\, Harwell Campus\, Didcot\, Oxfordshire\, OX11 0QX
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