Technology

Our technology works based on detecting any electrical and impedance changes in the flow cell environment containing specific media (required for growth of microorganisms) and specific antibiotics. These slight changes are detected using micro-circuses under the flow cells and are boosted and analyzed by our software. Our antibiogram device is made of a plate containing 100 flow cells equipped with micro-finger electrodes. This plate is connected to the software to read and process the electrical changes from each flow cell. The electrical plate and design of its electrical fingers is an innovative idea in which the electrodes show the maximum touch with the microorganism. The device comes with software to learn from previous tests to reduce the antibiogram test’s speed. As well, this software can perform analytical data analysis for research studies and investigations.

Advances in nanotechnology have helped the development of miniaturized devices called lab-on-achip (LOC). the software designed for reading and processing is also unique for this device. The design of hybrid CMOS/LOC designs for the detection of microorganisms in a given sample.

 All steps of an experiment, sample collection included preparation, detection, and data analysis, are potentially targeted to design a fully automated diagnosis. LoC systems consist of several microscale reaction chambers and channels used to prepare samples and deliver analytes. The core part of an LoC system intended for microbial detection is a biosensor consisting of a recognition element and a readout system. The recognition elements, e.g., antibodies, bacteriophages, antimicrobial peptides, and bacteriocins, are utilized to convert the biological occurrence to a physical or chemical variation. Our methodology is based on a culture-free process of detection. It relies on microorganisms’ properties and is not limited to bench-top equipment, and it does not require skilled technicians to interpret the results. It can differentiate between living and destroyed cells. It measures changes in the electric and chemical properties of the microenvironment around the growing cells. The detection device can recognize the nature of the microorganisms and their ability to respond to different chemical and physical treatments. It has a high signal-to-noise ratio, which eliminates misinterpretation. Our ability to combine technologies has enabled us to improve the quality and the speed of microbial diagnosis.