As demands on laboratories continue to soar, researchers, scientists, and lab managers find themselves in a race against time, struggling to keep up with increasing sample volumes, complex workflows, and stringent quality standards. A  laboratory information management system (LIMS) can be the ultimate game-changer, offering a transformative solution that saves time and resources, supercharges productivity, enhances data integrity, and provides a competitive advantage. [Read More]

Depending on how long you have been working in the lab informatics industry, you may have noticed that the list of acronyms feels almost endless. Since this blog was first written more than 10 years ago, that list of acronyms has only grown. This blog post updates the original list to provide insight into an expanded list of the most common acronyms.  [Read More]

When selecting a laboratory information management system (LIMS), whether it’s your first or you’re replacing an existing solution, the temptation is to concentrate solely on your user requirements. It really does make sense to document these and match them to the features of potential LIMS products. However, remember that it is extremely unlikely, if not impossible, that any LIMS will exactly meet your needs when delivered out-of-the-box, and anyway those needs will certainly change over time. [Read More]

LabTwin is built on three pillars—its AI-powered large language model, its integration with the lab informatics landscape, and its support for general good practices (GxP); whether manufacturing, clinical, laboratory, or documentation. A prior blog post described how the AI features in the LabTwin voice-powered digital lab assistant support the Lab of the Future. Here, we’ll look at the second pillar that underlies LabTwin’s software and support for GxP organizations. [Read More]

A food and beverage lab's LIMS can revolutionize incident and corrective action management by ensuring quality outcomes, swiftly identifying incidents, and implementing effective corrective measures. With cutting-edge functionality like sample management and tracking, audit trails, and incident management tools, the LIMS empowers food and beverage businesses to improve how it identifies, reacts, corrects, and prevents such future incidents. [Read More]

R&D leaders face growing pressure to innovate quickly and cost-effectively. However, manual paper-based data collection methods stifle innovation, while outdated systems slow productivity and introduce data quality and traceability issues. We explored this topic in our webinar: Revolutionizing Research: Enhancing Experiment Efficiency with an ELN.  In this webinar we explore the history of scientific documentation, the importance of data quality, and the benefits of using modern ELN technology to advance innovation.  [Read More]

As a long-time supplier to the Environmental and Water & Waste Water public sector we understand that lab managers are facing pressure to meet testing demands with fewer resources. They need to do more with less and identify workload issues or bottlenecks. This is where QLIMS comes in. With a large global presence, we understand the fundamental issues our customers are facing. In this blog post, we will dive into QLIMS features for Water and Environmental Testing.  [Read More]

Wanting to integrate instruments and electronic systems in a laboratory is nothing new, and it is in fact increasingly desired. The optics and photonics lab is no exception to this fact. In this 2023 article published in the journal SoftwareX, Soto-Perdomo et al. address this desire with their OptiGUI DataCollector, a modular system that integrates optical and photonic devices, simplifies experiment workflows, and automates numerous workflow aspects in the lab, which in turn reduces the number of human-based errors. After a brief introduction to their reasoning for the system, the authors fully describe it and provide illustrative examples of its use. They conclude that the "software's automation capabilities accelerate data acquisition, processing, and analysis, saving researchers time and effort," while also improving reproducibility of research experiments.