Imagine a lab where experiments plan themselves, robots adapt dynamically, and data is analyzed seamlessly into actionable insights. Thanks to advancements in AI and machine learning (ML), closed loop lab automation is closer to reality than ever before. These technologies are transforming lab automation by enhancing efficiency, precision, and insight, enabling breakthroughs at an incredible speed. [Read More]

Choosing the right lab management system can be the key to unlocking your lab's full potential. Should you use a LIMS, an ELN, or both? Discover how these powerful tools streamline data management, ensure compliance, and boost productivity. Learn what each system offers and how combining them can create an unbeatable lab management solution tailored to your needs. [Read More]

Biobanking operations today generate large volumes of complex data, making it essential to have robust systems in place to maintain order, ensure accuracy, and manage regulatory demands. A Laboratory Information Management System (LIMS) designed for biobanking can help achieve these goals by streamlining workflows, automating routine tasks, and reducing the risk of human error. [Read More]

Human errors are the most frequent cause of errors in the laboratory. Reducing these errors has been a key factor driving lab automation efforts. Lab automation has driven down the rate of human errors in the analytical phase of laboratory work, where instruments and analytical systems are involved. However, the unaddressed source of most human errors in the lab (or anywhere, for that matter) is omitting necessary task steps. [Read More]

Newform Foods digitalized its R&D efforts with the Labstep Electronic Laboratory Notebook (ELN), increasing productivity, collaboration and knowledge sharing, and data security.  Needing a solution that would simplify experiment execution while streamlining their R&D, Newform Foods selected the Labstep ELN to streamline the documentation of experiments, foster seamless collaboration among teams, and support its compliance goals.  [Read More]

A comprehensive approach to lab data management provides a crucial pathway to knowledge, discovery, and innovation in scientific research. Effective data management is an essential part of today’s research landscape, and the need to store, access, and analyze data efficiently is key to driving innovation, speeding up research, and meeting regulatory requirements. [Read More]

The life sciences industry drives global health innovation, enabling breakthroughs in drug discovery, genomics, biotechnology, and more. This sector is essential for transforming lives and fostering economic growth. However, the widening skills gap poses a threat to its progress.  This article examines the root causes of the life sciences talent gap and provides actionable strategies to address it. [Read More]

The forensic science landscape is evolving rapidly, driven by emerging technologies like AI, cloud computing, and advanced data analytics. Is your lab equipped to keep pace? Discover how adapting to new tech trends can transform evidence management, streamline workflows, and enhance case resolution. Stay prepared for the future of forensic investigations with the right tools in place. [Read More]