Join the battle against Antimicrobial resistance with oCelloScope

New resistance mechanisms are emerging and spreading globally, threatening our ability to treat common infectious diseases, resulting in prolonged illness, disability, and death.

Scientists are demanding fast and sensitive methods to discover new antibiotics and push forward our understanding of these resistance mechanisms.

oCelloScope enables scientists to reduce the time-to-result, run faster screening and reduce the manual work-load, by combining growth curves with images and video, through highly sensitive and automated data acquisition and analysis.

oCelloScope: Rapid, sensitive real-time Antimicrobial Susceptibility Testing

Case study:
CDC have shown that with oCelloScope you can get 4 times faster time-to-result on Antimicrobial Susceptibility Test for B.anthracis 

According to Centers for Disease Control, McLaughlin & Sue (2018), oCelloScope can detect the growth of B.anthracis much faster than standard methods, enabling the user to consistently get the data needed for MIC determination within 4 hours, compared to 16-20 hours for standard methods.

This much greater sensitivity of oCelloScope, compared to standard methods, is obtained with the specialized embedded image analysis algorithms, that enables oCelloScope to detect single cells and quantify growth at concentrations down to ~10³ CFU/ml.  

Accuracy in MIC Determination

Rapid time-to-result is not the only advantage of the oCelloScope.

Fredborg et al., tested 168 antibiotic-bacteria combinations, and with an overall agreement of 96% of the calculated MIC, they concluded that the rapid detection time does not interfere with the validity of the results.

See the protocol for AST and determination of MIC in our application note:

‘Rapid antimicrobial susceptibility testing and determination of MIC value using the oCelloScope’

The UniExplorer software automatically provides the user with a plate overview to quickly evaluate the experiment.

E.coli ATC 25922, i) untreated and ii) treated with piperacillin 1 mg/L

Follow the β-lactam-induced cell morphology changes on Gram-negatives

oCelloScope combines high sensitivity with real-time imaging, which enables scientist to analyse and follow cell morphology changes.

The special designed SEAL algorithm can detect filamentation of rod-shaped bacteria based on segmentation and extraction of the average bacterial length.

Learn more details and watch the videos in this recent publication from CDC, McLaughlin and Sue (2018), where SEAL was used to measure the average cell length (μm) of Bp82 and JB039 in the presence and absence of CAZ.

Get a deeper insight into the dynamics of your sample 

Due to the higher sensitivity, oCelloScope enables you to get deeper insights into your sample dynamics, as changes on single cell level are quantified. 

As an example, you can easily identify resistant sub-populations from the plate overview, by looking at the shape of the growth curves.

Ready to get started?

We are ready to help you solve your tough research challenges. Our highly qualified team can help advance your next big discovery.