Invitrogen and ScienceXperts Launch Software to Demystify Multicolor Flow Cytometry
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Invitrogen Corporation and ScienceXperts, Inc. have announced the launch of CytoGenie™, a knowledge-based software tool that simplifies the design of flow cytometry experiments, including multicolor protocols whose complexity amplifies dramatically as more parameters are detected.
CytoGenie software is the result of a collaboration between Invitrogen, and Drs. Leonard and Leonore Herzenberg, founders of ScienceXperts, Inc. and pioneers in flow cytometry.
The software package as a free resource to scientists, simplifies the process of selecting the optimal reagent to maximize the performance and results from the flow cytometer.
“Flow cytometry is an extremely powerful, yet complex technique,” noted Kip Miller, Senior Vice President, Biodiscovery, for Invitrogen. “We are very excited and pleased to collaborate with ScienceXperts, to develop this software-assisted reagent selection tool that dramatically simplifies the flow cytometry workflow, from experimental design to optimized reagent selection.”
CytoGenie software integrates Invitrogen’s broad portfolio of fluorescent reagents through a direct link to the online catalog featuring thousands of products optimized for use in flow cytometry. CytoGenie’s knowledge-base can take the guesswork out of determining which dye combinations are best suited for use on a particular flow cytometer configuration.
In addition, CytoGenie enables scientists to purchase reagents through Invitrogen online, and to manage the reagent inventory used in those protocols.
“With advanced techniques such as multicolor analysis, flow cytometry continues to push the envelope,” said Dr. Leonard Herzenberg, professor emeritus at Stanford University and a founding member of Invitrogen’s scientific advisory board for immunology and flow cytometry.
“However, researchers are often mystified by the complexity of the technique. CytoGenie is designed to take the guesswork out of developing multicolor flow cytometry protocols, allowing scientists to tackle the most difficult cellular analysis questions facing them,” Herzenberg added.
