We installed a Dyversity imaging system because we needed to accurately detect small amounts of proteins associated with the human aging process. The Dyversity has been very easy to use as the training and the technical support we have had from Syngene have been exceptional.

With the system, we have been able to rapidly generate reproducible data which let us measure phosphorylation levels of different signal transduction molecules in insulin-like-growth factor1 pathway so the quantification and analysis capabilities of the Dyversity are exactly right for our work.

We use yeast as a model system for studying cellular changes in colon cancer. We spent a lot of time counting thousands of yeast colonies, a task which our trained staff found to be very laborious and prone to error. We tried some image analysis software to automate the process but it just could not accurately discriminate different colonies and was tedious to use. We were shown a ProtoCOL by a colleague and because the ProtoCOL has so much utility, yet is priced so that an academic lab can afford it.

We love our ProtoCOL as it can count plates with over 2000 colonies on them, some as small as a pencil point, and it can even segregate counts according to colony size or color, which is an amazingly useful feature. ProtoCOL indicates every colony it has counted with a dot, which means we are always in full control of the final count and it saves the images automatically so we can look at them again if we need to. We didn’t think a colony counter this good existed, but it does and now we wouldn’t be without our ProtoCOL.

At Produlab Pharma we manufacture veterinary antibiotics and other veterinary pharmaceuticals. We installed a Synbiosis ProcScan system and statistical analysis software mainly to improve the data integrity of our antibiotic sensitivity testing.

We assessed two automated zone analysers but chose the Synbiosis ProcScan because the system is the only one that can measure inhibition zones in a 6 x 6 grid on large antibiotic susceptibility plates and records the raw plate images to provide hard evidence for clients or regulators to look at. We like using the ProcScan because the system not only saves us time but ensures the quality and traceability of our data.

We’ve had our ProtoCOL at the Robert Mondavi Institute and the system is saving us so much time and a huge amount of manual work when counting colonies cultured from the food we’re testing in our field trials.

We look for Salmonella and E.coli 0157 and often use different chromogenic media to count blue, purple, white or even black colonies on many different colored background. Unlike some systems, the ProtoCOL can recognize and count all these colony types with ease. We also use spiral plates, gridded filters and pour plates, yet the ProtoCOL system can distinguish very small colonies and also grid lines from colonies. We can directly export results to Excel which saves us time with rekeying results and our undergrads like the system as it is not complicated to use. We’re very happy we chose a ProtoCOL for our research.