InfraRed Analysis Training - QUASAR -

Overview

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

Topics

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

Application

APPLICATIONS ARE NOW CLOSED

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.

Speakers

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.

Contacts

If you have any question or you need any further information, please contact events@diamond.ac.uk

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InfraRed Analysis Training - QUASAR