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.
Hyborg is a fully automated device for processing and analysing hybcells (cylindrical DNA and protein microarrays). Hyborg integrates thermocycler, hybridisation station and scanner into a single device. All processing steps - from temperature profiles or exchange of liquids to multi-color scanning - are computer-controlled and documented. Hyborg's concept of totally integrated automation guarantees maximum reproducibility o…
