Enhanced Informatics Capabilities for Quality Control Microbiology

25 Jul 2012
Tesni Perry
Administrator / Office Personnel

Product news

Today Lonza announced the release of MODA-EM™ Version 3.1, a significant update to the MODA™ platform. This follow-up provides quality control microbiology departments with enhanced reporting and trending capabilities, greater paperless efficiency, and the ability to seamlessly integrate with other systems.

“We’re excited to release MODA-EM™ Version 3.1 to the industry. We consulted extensively with our customers. With their guidance Lonza is delivering an update that provides cutting-edge analytics, major improvements in user experience, and new global deployment features. These strike the balance between local needs and enterprise IT requirements. Thanks to our customers and staff, Version 3.1 gives QC Micro organizations a best-in-class informatics platform for their needs today, while meeting the global quality and regulatory demands of the future.” appreciates Mike Goetter, Innovation Director of Informatics for Lonza Bioscience.

This release introduces a number of new analytics tools to the existing MODA™ offering. It enables the users to capture and view up-to-the-minute data using multiple dashboards. Enhanced trend reports include 3D charts as well as an expanded report gallery reflecting changes in regulatory guidance. At the same time, there is an Excel® plug-in that allows a direct, secure connection to the MODA-EM™ software for ad hoc trending and statistical analysis.

MODA™ Version 3.1 features numerous customer-driven usability enhancements, including SOP linkage to document management systems, once-per-session data entry with color-coded compliance checks for sampling and lab activities, and new automatic trending notification features based on new industry guidance on environmental monitoring.

The MODA™ API (application programming interface) allows the development of applications that integrate with MODA™. It provides connections to existing systems with no end user interaction required. The web service API facilitates data exchange with widely adopted enterprise systems commonly seen in Pharmaceutical and Biotech organizations, such as continuous monitoring systems, ERP, LIMS, and maintenance/calibration systems. Many new particle counters and lab devices have been added to MODA-EM™ supported device list.

Version 3.1 supports multiple languages (English, German, French, Italian, Spanish, Czech, Japanese and Portuguese–Brazil) and offers the framework to quickly and easily add additional languages.

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Data AnalysisData analysis hardware and software is available to make data processing straight-forward yet powerful. Data software can be used for math and stats, technical graphing and image analysis. In addition, software is available for specific data analysis of electrophoresis, densitometry, ELISA and DNA sequencing.MicrobiologyMicrobiology is the study of microorganisms including protists, prokaryotes, fungi, and, often, viruses. Microorganisms are a useful research tool as genetic vectors and, in immunology, for antibiotic susceptibility testing, cellular biology and genetics. Microorganisms commonly grow readily in incubators with microbial culture media; this can contain chromogenic supplements to differentiate between cell lines. Estimate your culture’s density of microorganisms with colony counters, or screen and select colonies for desirable clones with automated colony pickers. Additionally, equipment is available to monitor environments for the presence of microbes and identify with microbial identification instruments. Find the best microbiology products in our peer-reviewed product directory: compare products, check customer reviews and receive pricing direct from manufacturers.Chem / BioinformaticsCheminformatics and bioinformatics are computational techniques used in chemistry and biology, respectively, for data acquisition, processing and storage. Cheminformatics focuses on compound information, whereas bioinformatics is mainly applied to analysis and modeling of genomics, genetic and sequencing information. Hardware and software is available for data acquisition, analysis, management and storage.Quality ControlQuality control is needed in all production processes. Quality control is a monitoring procedure or set of procedures that are put in place to ensure that a manufactured product adheres to a defined set of quality criteria.
Enhanced Informatics Capabilities for Quality Control Microbiology