ISO/IEC 17025:2017 impacts laboratories by placing some burdens on the lab to improve quality, while the lab also realizes several benefits. Various laboratory workflow requirements must be met, from generalized requirements to more narrowly focused commitments. Benefits include expanding business opportunities, controlling waste and costs, improving measurement accuracy, improving productivity, efficiency, and turnaround times, and gaining happier customers. [Read More]

The outlook for lab technology trends in 2024 promises to capitalize on the foundations of the Lab of the Future concept. While Digital Transformation has ushered in a new era of digitalization and optimized laboratory workflows, cloud computing has provided an affordable, scalable IT framework with access to an array of novel applications to support this vision further. The widespread use of Artificial Intelligence (AI) has propelled digital capabilities, leading to unprecedented scientific advancement. [Read More]

Elypta is on a mission to revolutionize early cancer detection with a pioneering metabolism-based liquid biopsy. Elypta’s research relies heavily on the simultaneous analysis of thousands of samples, which lacked a consistent cataloging process. This inconsistency posed difficulties for research teams in managing, updating, and tracking thousands of samples effectively. Learn how the Labstep ELN from STARLIMS enhanced Elypta’s R&D speed and productivity by keeping data secure, traceable, and collaborative.  [Read More]

Clinisys, a global provider of intelligent laboratory information management solutions, announces a strategic partnership with SciNote, a global market leader that provides an Electronic Lab Notebook (ELN), with inventory, security, compliance, and team management tools, which allows for integration of laboratory and diagnostic information solutions. [Read More]

OnQ Software is thrilled to announce our official partnership with Amazon Web Services (AWS) after successfully completing the Foundational Technical Review (FTR) and being recognised as an ‘AWS Qualified Software Partner.’ This partnership signifies our commitment to excellence and innovation in the field of laboratory management. QLIMS, a cutting-edge Laboratory Information Management System (LIMS), is designed to streamline laboratory operations and enhance data management. [Read More]

Autoscribe will be presenting at the event to highlight how laboratories can use the power of computers and laboratory software to drive automation and improve bottom-line profitability. Indonesia’s “Golden Indonesia 2045 Vision” has driven increased regional interest in using laboratory information management systems (LIMS) to drive quality standards, improve automation and increase efficiency. [Read More]

The safety, quality, and suitability of construction materials for a given construction task is paramount, and this is better ensured with lab testing. Not only are fasteners, lumber, and adhesives tested, but also the underlying soil and rock of a construction site. A wide range of materials (e.g., wood, iron, concrete, shingles) are tested using standardized test methods, measuring properties such as tensile strength, water penetration, and impact resistance. [Read More]

Learn how to optimize existing tools and embrace emerging technologies like artificial intelligence, data science, simulations, analytics, and lab informatics integrations for enhanced daily operations at this virtual conference - April 3 - 4, 2024. Gain insights on deriving additional value from organizational data, deepen your understanding of AI and digital twins, and be an early adopter of integration platforms and digital transformations. [Read More]

In this 2023 paper published in Nature Communications, Signoroni et al. present the results of their efforts towards a system designed for "the global interpretation of diagnostic bacterial culture plates" using deep learning architecture. Noting the many challenges of human-based culture interpretation, the authors present the results of DeepColony," a hierarchical multi-network capable of handling all identification, quantitation, and interpretation stages, from the single colony to the whole plate level." After reviewing the results, the authors conclude that given the "high level of agreement" between DeepColony's results and the interpretation of humans, their system holds significant promise. They add that DeepColony can be viewed as "a unique framework for improving the efficiency and quality of massive routine activities and high-volume decisional procedures in a microbiological laboratory, with great potential to refine and reinforce the critical role of the microbiologist."