Deep learning techniques can potentially support interpretation of digital Gram images. To match the growing demand for workload reduction and efficiency increase in the review process of Gram stained slides we have integrated deep learning-based object classification using convolutional neural networks (CNN) with our automated scanning platform Metafer to create a unique Gram slide screening environment.

Respiratory samples are highly viscous and are difficult to handle for laboratories. These challenging samples can fast and easily be liquefied with the DTT-free Liquillizer reagent.

The DMI Bacteremia Kit allows direct identification of the clinically most relevant bacteremia causing pathogens from positive blood culture.

Multiplex hybridization kit for direct identification of the clinically most relevant nosocomial pneumonia causing pathogens from native respiratory patient samples.