InfraRed Analysis Training - QUASAR

Nov 01. till Nov 03.

InfraRed Analysis Training - QUASAR

To address the InfraRed user community's need for a user-friendly and open-source software for IR data from hyperspectral analysis to nanospectroscopy, Diamond Light Source in collaboration with Soleil and Ljubljana University is organising a 3-day hands-on workshop on the use of the QUASAR software.

01/11/20222022-11-01 - 03/11/20222022-11-03
In person at Diamond Light Source


This 3-day hands-on training will take place at Diamond Light Source and is targeted at users (current, future or potential) working on the broadest range of IR research applications, spanning from biomedical imaging, material/engineering microanalysis, physical-chemical sciences, cultural heritage or archaeology, geology and space science, nanoscience and more.

The purpose of this event is to provide a complete training on the usage of QUASAR using tutorials and examples on real-life IR microscopy (or Raman) and IR imaging datasets, including possibly IR nanospectroscopy.

What is QUASAR?

QUASAR is an open-source software for hyperspectral imaging techniques (based on the Orange machine learning and data visualization suite).

QUASAR allows user-friendly analysis using visual programming. Routine tools like baseline correction, normalization, different versions of EMSC, differentiation and smoothing can be combined with multivariate statistical and machine learning methods, such as principal component analysis or various clustering methods. Savable and shareable workflows ensure consistent analysis across different projects, or the development of different analysis to same large dataset. Visualization tools enable quick inspection of the data and the results of the analyses.

Provisional Agenda & Timings

1st November 2022 2nd November 2022 3rd November 2022
09:00 Arrival 09:00 SESSION 1
Introduction to unsupervised learning
09:00 SESSION 1
Classification of spectra and hyperspectral datasets using various methods
    10:15 Break
10:30 SESSION 1
Getting started with Quasar (installation, basic Orange and Quasar functionality)
10:30 Break 10:30 SESSION 2

Hands-on work with real data
  10:45 SESSION 2
Clustering of spectra and hyperspectral datasets using various methods
12:00 Lunch break 12:00 Lunch break 12:00 Lunch break
13:15 SESSION 2
Spectral Preprocessing
Visualization – mapping and imaging
13:15 SESSION 3

Hands-on work with real data
13:15 SESSION 3
Common errors in machine learning
14:30 Break   14:30 Break
14:45 SESSION 3
Statistical data exploration
PCA, PCA visualization
PCA imaging
14:45 Break 14:45 SESSION 4

Hands-on work with real data
  15:00 SESSION 4
Theory of supervised learning
Cross validation
16:00 Break   16:00 Event end
16:15 SESSION 4

Hands-on work with real data
16:15 Break  
  16:30 SESSION 5

Hands-on work with real data
  17:30 MIRIAM Beamline visit
18:30 Drinks and Dinner 18:30 Drinks and Dinner


  • Data import and exploration
  • Pre-processing
  • Visualization
  • Statistical exploration
  • Introduction to unsupervised learning
  • Clustering of spectral and hyperspectral datasets
  • Introduction to supervised learning
  • Classification of spectral and hyperspectral datasets
  • Model Inspection and cross-validation
  • Predictions
  • Common errors
  • Hands-on exercises



Please note that places on this training course are limited. In the case of oversubscription there will be a limit on attendees per organisation. Participants will be selected on a fair distribution basis across the research groups, giving priority to early career scientists.

If your application is successful, there will be a £100 fee to attend the event. Meals and refreshments will be provided throughout the events and will be included on the fee. Applicants will be required to cover the cost of their accommodation and the cost of their transport to and from Diamond. We will provide more information on accommodation and travel to successful applicants once confirmed.


  • Ferenc Borondics, SOLEIL (France)
  • Christophe Sandt, SOLEIL (France)
  • Marko Toplak, University of Ljubljana (Slovenia)

Parking on Campus

Parking on the Harwell Campus is extremely limited and visitors’ parking cannot be guaranteed. We strongly recommend travelling by public transport, where possible.

Find here more information on how to get to Diamond by Public Transport.


 If you have any question or you need any further information, please contact


Sponsored by


Diamond Light Source

Diamond Light Source is the UK's national synchrotron science facility, located at the Harwell Science and Innovation Campus in Oxfordshire.

Copyright © 2022 Diamond Light Source


Diamond Light Source Ltd
Diamond House
Harwell Science & Innovation Campus
OX11 0DE

See on Google Maps

Diamond Light Source® and the Diamond logo are registered trademarks of Diamond Light Source Ltd

Registered in England and Wales at Diamond House, Harwell Science and Innovation Campus, Didcot, Oxfordshire, OX11 0DE, United Kingdom. Company number: 4375679. VAT number: 287 461 957. Economic Operators Registration and Identification (EORI) number: GB287461957003.