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]

Boost your lab’s productivity with powerful free tools designed for researchers. From electronic lab notebooks and data analysis platforms to advanced visualization software and reference managers, these applications streamline workflows, enhance collaboration, and support reproducible science—without breaking the budget. [Read More]

AI is revolutionizing life science R&D, accelerating discoveries and personalized treatments. To harness its full potential, labs must ensure AI data readiness. In this blog series, we outline a roadmap to drive meaningful transformations through 2025 and beyond. [Read More]

Dry labs are increasingly important tools in laboratory sciences, especially for early-stage research. Unlike wet labs, there are no benches in sight. In fact, dry lab scientists may never pick up a pipette. Dry labs focus on applied or computational mathematical analyses instead of physical experiments, using computer-generated models and simulations in place of samples and reagents. More importantly, they are a key component of lab 4.0. [Read More]

When selecting and configuring LIMS software, five major areas of functionality define the biggest differences between potential options. A lab’s requirements within each area will depend on the nature of the work they do. This article explores what those requirements typically look like for a lab focused on next-generation sequencing (NGS). [Read More]

Fieldale Farms, a leading poultry producer, managed lab data using Access and Excel, but faced poor tracking, no audit trail, and manual inefficiencies. Identifying test methods or responsible technicians required digging through paperwork.  To streamline operations, the lab adopted Confience’s SaaS Food & Beverage LIMS, for easier sample login, better tracking, accurate results with audit trails, strong QA/QC, and seamless instrument integration. [Read More]

Download this comprehensive guide to AI and ML in the R&D Laboratory Setting.  Astrix brings its in-depth knowledge on how Life Science companies should prepare to deploy and leverage the power of AI/ML in a way that achieves both business and technical goals. [Read More]

From ISO 17025 to OSHA and ASTM, materials testing labs must navigate a maze of standards to ensure accuracy, safety, and credibility. Discover how industry-specific regulations, documentation, and lab software all play a vital role in staying compliant, audit-ready, and competitive in today’s high-stakes environment. [Read More]