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EVRI-thing You Need to Know About How to do Curve Resolution in PLS_Toolbox and Solo

Jun 16, 2020

June 16, 2020


Join us Tuesday, June 16 as our webinar series continues with “EVRI-thing You Need to Know About How to do Curve Resolution in PLS_Toolbox and Solo.” Eigenvector Vice-President Neal B. Gallagher will present.

Multivariate Curve Resolution (MCR, aka, end-member extraction, self modeling mixture analysis, etc.) is used to extract chemically meaningful factors (i.e. concentrations and pure component spectra) from spectroscopic data and hyperspectral images. It is used with data generated by a variety of techniques including Raman, Infrared (IR), Near Infrared (NIR), and Fluorescence spectroscopy, as well as Secondary Ion Mass Spectrometry (SIMS) and others. This webinar introduces MCR and shows how to create MCR models using Solo and PLS_Toolbox.

In this webinar we’ll discuss:

  • Basics of MCR: non-negativity and ambiguities
  • Selecting number of components
  • Implementing constraints
  • Using contrast to explore solutions
  • MCR on hyperspectral images

Register for “EVRI-thing You Need to Know About How to do Curve Resolution” through your existing Eigenvector account, or create one. The webinar is free, but you must register to attend. Find the webinar near the bottom of the page under the “Purchase” tab.

A question and answer session will follow the webinar. Don’t miss your chance to quiz Neal his fellow EigenVectorians about how to extract chemically meaningful information from your data using PLS_Toolbox or Solo.

Reserve your seat today . The webinar will be live on Tuesday, June 16 at 7:00am PDT, (that’s 16:00 CET). We’ll send you a WebEx innovation the day before the event. We hope you can attend, but if you sign up and can’t make it, we’ll send you a link to view the recording the day after the webinar.