Wednesday 5th April 2017
Cambridge, UK: Synbiosis, a long-established, expert manufacturer of automated microbiological systems, is delighted to announce its Chromogenic ID software for use with Synbiosis colony counters now has a validated module for automatic identification of bacteria and yeasts on ThermoFisher Scientific’s Oxoid Chromogenic media. Using this revolutionary software allows microbiologists to rapidly and accurately identify microbes cultured on the world’s most commonly used media.
The intuitive Chromogenic ID software module, guarantees that microbiologists using the digital colour imaging technology unique to the ChromoZona, ProtoCOL 3, and Protos 3 systems can with minimal training, automate precise identification of microorganisms on the Brilliance™ Candida, CRE and UTI ranges of ThermoFisher Scientific’s Oxoid chromogenic media. This not only saves time but also ensures that results are objective and consistent between scientists.
By analysing true to life colour plate images captured by ChromoZona, ProtoCOL 3 and Protos 3 systems, the software’s advanced algorithms can distinguish between similar shades of mauve, pink and blue colonies. This provides fast identification of microbes including Candida spp., carbapenem-resistant E. coli, Klebsiella spp., Enterobacter spp., Serratia spp., Citrobacter spp. Enterococcus spp., Proteus, Morganella and Providencia spp. on four different Brilliance agar plate types. By collecting consistent data and reducing identification errors, the new Chromogenic ID software generates accurate results every time. These can be stored in a secure SQL database, making the software compliant with CFR 21 part 11 and easier to integrate into a GLP/GMP environment.
To find out more about this innovative new Oxoid Chromogenic ID Media Software Module scientists can click the link: http://www.synbiosis.com/chromogenic-id/
“Oxoid’s chromogenic media is extensively used world-wide, yet distinguishing between different coloured colonies on these media can be problematic and depends on the subjective colour vision of the scientist” explains Kate George, Senior Divisional Manager at Synbiosis. “Utilising our incredible new software module to automatically analyse these well-known plates is a major advance which guarantees microbiologists everywhere efficient and accurate microbial identification.”
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