Migrating from paper lab notebooks to a digital ELN can transform how your lab operates—boosting efficiency, improving data integrity, and simplifying collaboration. This step-by-step guide walks you through evaluating your current processes, choosing the right ELN, training your team, and ensuring a smooth, successful transition. [Read More]

Quality Control (QC) Labs require stringent adherence to the sample ID and classification, testing rules along with the historical tracking of data for evaluation and trending. A LIMS supports this by ensuring product specs and statistical compliance, guiding samples through the lab. Integration with instruments, third-party systems, barcoding, and automated reporting boosts efficiency and reduces errors. [Read More]

Lab professionals across the U.S. play a vital role in research, disease surveillance, food safety, and accurate diagnoses. However, federal funding and staffing cuts at agencies like HHS, NIH, CDC, EPA, and FDA are threatening their ability to operate—impacting labs nationwide and beyond. This blog explores how these cuts impact labs nationwide and why it's crucial for lab teams and their organizations to prepare and adapt to do more with less. [Read More]

Data storage is a common challenge for labs that generate and analyze large volumes of sensitive data, especially when subject to strict industry standards. Labs need storage solutions designed to handle these demands while ensuring data quality, security, and collaboration. That’s where a LIMS comes in. [Read More]

Welcome to Part Two of our blog series, Unlocking AI in the Lab: Your 2025 Roadmap to Data Readiness & Scalable Innovation. In this series, we explore how artificial intelligence (AI) and machine learning (ML) are reshaping the future of research and development in the life sciences industry. [Read More]

The NIH’s 2025 Data Management and Sharing Policy requires labs to prioritize transparency, accessibility, and proper documentation of research data. Electronic Lab Notebooks (ELNs) make compliance easier by centralizing records, ensuring version control, supporting secure sharing, and aligning with data integrity standards. [Read More]

Data is dynamic, constantly moving and interacting with other information. Have you ever wondered about the journey your scientific data takes? Where it’s generated, how it’s used, and whether your current processes are efficient? [Read More]