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Workshop on Hyperspectral Imaging and its application in Food Industries

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Course offered by Manjula B

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The aim of the course is to provide participants with a basic hands on introduction to the theory and practical application of hyperspectral imaging (HSI), and specifically hyperspectral chemical imaging (HCI) in food sector. Hyperspectral imaging adds a new dimension, spectroscopy, to traditional imaging techniques. Conversely, it adds spatial information to traditional spectroscopic analysis methods. In the context of HCI, this hybridization of imaging and spectroscopy demands proper multivariate chemometric techniques to fully enable the optimum extraction of relevant chemical information. HCI is also a rich source of easily interpretable data to visually extend and explore the implications of use (and misuse) of chemometric techniques. This imaging workshop will combine lectures and live demonstrations presenting some of the basic developments in HSI, and explore the extension of chemometrics to HCI image processing. Topics discussed will include instrumentation, exploratory analysis, classification, regression, and spectral pre-processing. Each topic session will begin with a mixture of basic theory and fundamental application results, followed by an interactive examination of class-room samples, using a HyperPro™ near infrared (NIR) hyperspectral imaging system.

Topics Covered

General introduction - history; Spectroscopy, Imaging, Hyperspectral imaging, Instrumentation Exploratory Analysis; Spatial and spectral browsing, Principal Components Analysis (PCA), Brushing Classification; Theory introduction, Partial Least Squares – Discriminant Analysis (PLS-DA) Regression techniques; Theory introduction, Partial Least Squares (PLS) Spectral pre-treatments; Theory introduction, Derivatives, MSC, PMSC, SNV Advanced topics, Curve Resolution, Alternate classifications, Bad pixels, Variable selection, Uncertainty, Summary

Who should attend

This course is intended for students, specialists, and scientists with an interest in exploring recent advancements in spectroscopy and imaging. No previous experience with HSI / HCI or chemometrics is also expected. The course language will be English

Pre-requisites

No previous experience with HSI / HCI or chemometrics is also expected.

What you need to bring

Registered Participants are encouraged to bring their own application specific samples (up to 50 x 30 mm) for imaging to enhance the workshop discussion and learning experience.

Key Takeaways

Hyperspectral imaging, multivariate chemometric techniques, NIR Spectroscopy etc...

About the Trainer

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After completing initial university training in chemistry and mathematics (1977) James Burger began instrumentation research work at one of the primary US government research labs followed by commercial instrumentation development at several ‘silicon valley’ startup companies. He returned to Seattle and began his chemometrics career at the University of Washington (Bruce Kowalski), receiving a Masters degree in 1985. After many years of commercial and business related software development in the Seattle, USA area, (including Microsoft) he returned to PhD studies in 2002 at Aalborg University, Esberg, Denmark (Kim Esbensen) and the Swedish University of Agricultural Sciences in Umea, Sweden (Paul Geladi). His PhD (2006) research focused on the extension and application of chemometric principles to HSI. James recognized a need for commercial development of HSI and founded BurgerMetrics SIA, Riga, Latvia, offering fully integrated HCI systems for both laboratory and online process image acquisition, customized HCI analysis software, and general HCI consulting and training services. He continues to explore novel extensions of chemometrics and the development of interactive software to aid in the interpretation of HCI data.

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