LIMS and ELNs – Multimedia

Today’s digital environment requires a scientifically aware informatics foundation that integrates critical capabilities with existing systems and information sources, speeding “science to compliance” for organizations that rely on scientific innovation to differentiate themselves.

Speaking in July 2021 at the online symposium, Advances in Food & Beverage Analysis, Jeff Collins, Senior Engineer of Field Applications at Thermo Fisher Scientific, presented his talk on LIMS software for the food testing lab.

This video summarises computer science and shows how pure mathematics, engineering and many other scientific disciplines are related to each other.

Choosing the right data system can make all the difference. If you deploy a chromatography data system (CDS) in the cloud, what does it mean for your data and what GXP regulations could impact this decision?

Laboratory instruments are essential tools for reliable and efficient processing, whether that is liquid handling, storage, weighing or tube sorting. However, issues can arise with handling each new data stream that these instruments provide.

As science becomes more digitized, laboratory information management systems (LIMS) are being adopted rapidly. As we begin to gradually open the world back up post-COVID-19, what will be the most significant advances in LIMS technology?

Data accessibility has been a challenge, until now. Using data science algorithms, it is now possible to process and integrate all LIMS and enterprise data to provide valuable insights and timely, meaningful recommendations.

Since the dawn of the digital age in the 1980s we have seen an increase in cybertheft; each evolution in data storage and movement has brought new methods of putting data at risk.

Download this whitepaper to discover how a LIMS can schedule and monitor microbial testing whilst maintaining compliance and capturing results from numerous instruments.

Download this guide to learn about designing and building the LIMS IT platform, interfacing core analytical instruments, training the LIMS project team and LIMS implementation do's and don'ts.