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Decentralized image acquisition and assessment combined with central case management
Hospitals and private laboratory networks may run numerous laboratories. Many of them have a limited number of Gram slides per day for which an automated scanning and imaging solution is not required. On the other hand, they have a high interest in standardization to improve testing accuracy.
The Metafer based imaging system Metafer IMAS* is a manual microscope imaging solution fitting the needs of laboratories with a limited number of Gram slides. It combines MetaSystems' interactive imaging software Metafer, which is network enabled, with a manual microscope with LED light-source, and a high-quality CoolCube camera.
Metafer IMAS stations can easily be integrated into the existing laboratory environment. Hence, users can store acquired images in a centralized location enabling access from anywhere in the hospital / laboratory network, speeding up the review process. Moreover, pre-defined procedures for reading and assessment can be integrated supporting standardization.
With Neon, MetaSystems offers an integrated case and imaging management software. Neon collects the data from any imaging job as well as from external sources and presents them in a comprehensive and versatile case management dashboard. Strong data management algorithms, several convenient display modes, and many options for selecting and filtering content make Neon the perfect basis to organize large quantities of information.
With Metafer IMAS for Gram imaging and Metafer SCAN for Gram scanning laboratory networks can manage images / cases from all sites equipped with the systems. Create reports, store Gram information with patient files centrally, track workflows and recall all data easily whenever needed, while significantly improving your quality management.
Mindful that laboratories are not a one-size fits all, MetaSystems offers reliable and robust digital microbiology solutions customized to meet laboratories of all sizes. Our solutions are versatile for different microbiology applications such as Gram, Mycobacteria, and Ova & Parasites.
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.
MetaSystems, a worldwide leader in microscopic imaging innovation, presented proof of concept results for Deep Learning - based pathogen classification on Gram stain slides.
The world’s leading experts will come together to discuss the latest developments in infectious diseases, infection control and clinical microbiology. The congress committee is preparing a comprehensive scientific programme with keynote lectures, symposia, educational and oral sessions on parallel tracks. We look forward to seeing you along with thousands of your colleagues from around the globe online or in Lisbon.
