A Crash Course in Calibration Model Development

January 19, 2023

Tokyo 104-0061,

Calibration models, based on spectroscopic or other instrument or sensor data, are used to turn non-specific measurements (e.g. absorbances) into specific chemical information (e.g. concentrations). These models, developed primarily with the use of regression methods such as Partial Least Squares (PLS), are ubiquitous in the chemical process environment. A good calibration model, however, starts with good data, which in turn requires forethought and planning. Once developed, there are several ways to deploy models for online application. Finally, model maintenance will often be required in order to assure continued performance.

Join us on Thursday, January 19 for a special short course “A Crash Course in Calibration Model Development.” Eigenvector President Barry M. Wise will present. The seminar will include live demonstrations showing how to use PLS_Toolbox/Solo for data review and model development. We’ll cover:

• Introduction: Chemometrics and Machine Learning
• Developing a calibration data set
• Importing data into PLS_Toolbox/Solo
• Data review and screening: plotting and Principal Components Analysis (PCA)
• Building a Partial Least Squares (PLS) regression model
• Saving and exporting models
• Getting models online with Solo_Predictor or Model_Exporter
• Model Maintenance
• Conclusions

Register for “A Crash Course in Calibration Model Development” through your existing Eigenvector account, or create one. The short course is free, but you must register to attend. Find the course near the bottom of the page under the “Purchase” tab. You can also register through our partner in Japan: Osamu Kobayashi, Digital Data Management Corporation, tech@ddmcorp.com

Questions will be fielded during the webinar. Don’t miss your chance to quiz PLS_Toolbox creator Barry M. Wise on best practices for developing online calibration models with PLS_Toolbox and Solo 9.2.

This course will be held at the Tokyo Ginza Marriott Courtyard. Full translation to Japanese will be provided. The schedule will be as follows:

10:00 – 11:30 Introduction through Principal Components Analysis (PCA)
Lunch break
13:00 – 14:30 Partial Least Squares (PLS) Modeling through Model Maintenance
14:30 – 15:00 Question & Answer time, additional software demonstrations