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Waters Full Spectrum Molecular Imaging System First to Combine Complementary MALDI, DESI and IMS Capabilities
Product News

Waters Full Spectrum Molecular Imaging System First to Combine Complementary MALDI, DESI and IMS Capabilities

Waters Full Spectrum Molecular Imaging System First to Combine Complementary MALDI, DESI and IMS Capabilities
Product News

Waters Full Spectrum Molecular Imaging System First to Combine Complementary MALDI, DESI and IMS Capabilities


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Waters Corporation has introduced a new full spectrum molecular imaging system for advanced molecular imaging of tissue samples. Based on the Waters® SYNAPT® G2-Si mass spectrometer, the system is the first ever to allow scientists to access enhanced matrix-assisted laser desorption ionization (MALDI) and desorption electrospray ionization (DESI) with ion mobility separation (IMS) in a single mass spectrometry platform.

The imaging capabilities of this new system enable research laboratories to pinpoint with greater specificity the distribution of large and small molecules within tissue samples. Information derived from imaging experiments can greatly benefit cancer, cardiovascular and neuro-degenerative research by measuring the distribution of molecules in cells and tissues. MS imaging also allows researchers to identify different tissue types based on their molecular composition.

“By combining MALDI with DESI and ion mobility on the same instrument, Waters brings molecular imaging into a new realm,” said Dr. Jeff Mazzeo, Sr. Director, Health Sciences, Waters Division. “We are committed to giving cell biologists, biochemists, clinical researchers and analytical scientists the tools they need to obtain a maximum amount of information to advance their research into human health. The new full spectrum molecular imaging system combines and optimizes Waters' mass spectrometry technologies to deliver a level of detail and molecular information beyond that of any individual imaging technique."

Waters will commence shipments of its full spectrum molecular imaging system in the third quarter of 2015.

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