CAMO Software and Shimadzu Scientific Instruments Form Partnership

Shimadzu will now provide CAMO Software's multivariate data analysis (MVDA) software, The Unscrambler to FTIR customers requiring chemometric analysis.

Written byLab Manager
| 1 min read
Register for free to listen to this article
Listen with Speechify
0:00
1:00

CAMO Software and Shimadzu Scientific Instruments have announced a partnership that will enable Shimadzu to expand its capabilities for FTIR spectrophotometry. Shimadzu will now provide CAMO Software’s multivariate data analysis (MVDA) software, The Unscrambler® to FTIR customers requiring chemometric analysis.

The Unscrambler® is a complete Multivariate Analysis and Experimental Design (DoE) software solution that is equipped with powerful methods, including PCA, Multivariate Curve Resolution (MCR), PLS Regression, 3-Way PLS Regression, Clustering (K-Means), SIMCA and PLSDA Classification.
 
“Multivariate quantitation and other statistical data analyses are required in nutraceuticals, pharmaceuticals and food technology,” said John Monti, Ph.D., spectroscopy product manager for Shimadzu. “With the availability of The Unscrambler®, from CAMO Software, Shimadzu can now offer R&D and QA in these industries, a more complete FTIR solution.”
 
Shimadzu’s FTIR customers will now benefit from The Unscrambler® features, including exploratory analysis, multivariate regression analysis, classification and experimental design.
“We are extremely happy to partner with Shimadzu and offer our solutions as a value-added service to their customers in North America , Latin America and the Caribbean . We are planning to equip Shimadzu’s large sales force with appropriate help that can provide leading MVDA solutions to its valued customers,” said Saby Goswami, Vice President - Sales for North America and Asia, CAMO Software.
 


 Source: 
CAMO Software

Related Topics

Loading Next Article...
Loading Next Article...

CURRENT ISSUE - May/June 2025

The Benefits, Business Case, And Planning Strategies Behind Lab Digitalization

Joining Processes And Software For a Streamlined, Quality-First Laboratory

Lab Manager May/June 2025 Cover Image