WiTec

April 12, 2023

This survey shows how Raman imaging can characterize food samples such as honey, chocolate, and fat spreads to help understand the products and production processes.

October 04, 2022

This survey shows how Raman imaging can characterize food samples such as honey, chocolate, and fat spreads to help understand the products and production processes.

April 12, 2022

May 19, 2021

*Wednesday, May 19, 2021 at 1pm EDT* Confocal Raman imaging is a powerful, versatile, and increasingly common microscopy technique capable of quickly identifying the molecules in a sample and visualizing their physical distribution three-dimensionally. The conference will give a comprehensive overview of current technologies and their latest applications. *On Demand Until May 19, 2022*

February 01, 2021

Confocal Raman microscopy is a powerful tool for analyzing the chemical composition of samples on the submicrometer scale. In the food industry, various ingredients, additives, and bio-polymers (such as emulsifiers, stabilizers, carbohydrates, or thickeners) are commonly used to optimize the texture or the flavor of food. The distribution and microstructure of the ingredients strongly influence the properties of the final product. Therefore, research and development, as well as quality control, require powerful analytical tools for studying the distribution of compounds in food. Raman imaging has proven to be an effective and versatile technique for food analysis (1,2).

February 01, 2017

October 06, 2016

The white paper provides a detailed insight into Raman imaging for pharmaceutical applications. It introduces large-area, ultra-fast, topographic and 3D confocal Raman imaging along with correlative imaging techniques.

March 21, 2016

Overcoming the boundary between user-friendliness and the ultimate capability in Raman Imaging is the key to effortlessly manage the image-acquisition and data evaluation at the highest lateral and spectral resolution. This executive summary will explore how the most intricate Raman Imaging experiments can be easily accomplished leading to a greatly improved data quality, ease of use and productivity.