Lab informatics harnesses cutting-edge technologies to manage, analyze, and interpret the vast amounts of data generated in lab settings. It encompasses the use of advanced software systems, including laboratory information management systems (LIMS), electronic laboratory notebooks (ELN), and scientific data management systems (SDMS), to streamline workflows and facilitate collaboration. Increasingly, lab informatics integrates machine learning (ML) and artificial intelligence (AI) algorithms to automate data analysis, predict trends, and optimize experimental processes. Explore how lab informatics empowers researchers and scientists to derive actionable insights, accelerate discoveries, and drive advancements across diverse scientific fields.
High-performance data acquisition hardware trusted for a wide range of life science research and teaching applications. The PowerLab data acquisition (DAQ) device is recognized internationally for its high signal quality, simple design and practical use in a wide range of applications. Few DAQs are cited in research as often as the PowerLab.PowerLabs are capable of recording at speeds of up to 400,000 samples per second conti…
