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VITEK® MS provides ultra- rapid results. Deposit a cultured microorganism on a target slide, add the ready-to-use matrix solution and insert slide into the VITEK® MS system. Actionable results are reported within minutes.
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VITEK® MS is an automated microbial identification system that provides identification results in minutes using an innovative mass spectrometry technology — Matrix-Assisted Laser Desorption Ionization Time-of-Flight or MALDI-TOF. VITEK® MS is the latest addition to bioMérieux’s product portfolio of microbial Identification (ID) and Antibiotic Susceptibility Testing (AST) solutions. The system is an integral part of the bioMérieux Microbiology Pathway.
The synergy of VITEK® MS, VITEK® 2, Etest® and Myla® is among the industry’s most comprehensive solutions for microbial identification and antibiotic susceptibility for addressing today’s laboratory needs. The integration of systems ensures optimal efficiency, full sample traceability and quality results you can trust. Myla®, the web-based laboratory informatics solution, provides rich connectivity between identification with VITEK® MS and antibiotic susceptibility testing with VITEK® 2 while enhancing information and workflow management.
VITEK® MS offers security and traceability:
The VITEK® MS is 21 CFR Part 11 Compliant, and with the VITEK® Prep Station, it securely links unique specimen information to each spot on the target slide. Unique barcodes on the plated media and the VITEK® MS target slides ensure complete workflow traceability.
VITEK® MS for accurate bacterial identification:
The FDA 510(k) cleared VITEK® MS database contains 193 clinically relevant microorganisms and was developed with organisms from multiple regions, countries, sources and environments for enhanced coverage of strain variation. A proprietary algorithm to analyze mass spectra vastly increases the accuracy of identification.
VITEK® MS for easy integration:
VITEK® MS can be easily integrated in today's clinical microbiology laboratories with either centralized or decentralized workflows by utilizing its unique VITEK® MS Prep Station. This allows multiple users to work in parallel by preparing their own target slides with the capability to identify up to 192 isolates in a single run.
Improve workflow efficiency and enhance technology for microbiology labs of all sizes. Acquire, interpret, and report test results with unparalleled speed, precision, and accuracy. Connect with VITEK® 2 for same-day ID and AST result reporting.
Microbial Identification in Minutes
VITEK® MS brings a new innovation for microbial identification that allows organism species identification within minutes. Using Matrix-Assisted Laser Desorption Ionization - Time-of-Flight (MALDI-TOF) technology, organism proteins are analyzed to generate unique fingerprint patterns that are matched against a comprehensive database comprised of clinically relevant organisms. The database is built using extensive analysis of a vast number of different strains, and organisms are grown under various conditions and at different stages of growth.
Optimized for integration & efficiency
VITEK® MS offers a parallel, multi-station workflow to enhance efficiency and flexibility. Its 4-slide capacity enables technologists at separate workstations to work simultaneously. With 48 sample slots per target slide, a total of up to 192 isolates can be tested in a single run.
bioMerieux's proprietary algorithm – Advance Spectra Classifier* (ASC) - uses a weighted bin matrix to build the Knowledge Base reference strain database. The knowledge base includes data representing 755 taxa, including 645 bacteria and 110 fungi. There are on average 40 reference spectra per species covering strain variation, media types and growing conditions. To create the bin matrix, reference spectra for all species are divided into 1,300 pre-defined bins and bin weights are calculated based on the presence or absence of a peak in a bin and whether this is specific for a certain species compared to all other species in the database.
Once a spectrum is generated from the test sample, the raw data are processed to eliminate baseline values and noise so that significant peaks can be detected. The spectra are then divided into the 1,300 bins and the peak patterns are compared with those for all species in the knowledge base. By computing the sum of the bin weights against all species in the database a relative score is generated and converted to a probability percentage and confidence value. This binning algorithm enables the unambiguous identification of an organism with a confidence level greater than 99%.
The approach of analyzing 1,300 data points of each spectrum rather than comparing spectral patterns is very robust for high-confidence identification and differentiation of species that have a very closely related protein content and spectral profile. The process enables fast analysis time and improved accuracy over existing methods.
*Patent Pending
Identification results are reported with an easy-to-read, colour-coded screen:
Results have a strong match and are ready to report
Results have low discrimination and require further review
Low-quality results with no identification made
Connectivity & Integration
Superior Resolution