If you are planning to invest in lab automation solutions, this is the white paper you must read first. It covers everything you need to know and consider before automating your lab, from the most common pitfalls to tips on how to properly train your team.
Automation is changing how laboratories operate, handling repetitive tasks with speed and consistency, but it does not replace scientists. Human expertise is essential for designing experiments, interpreting complex data, troubleshooting issues, and making strategic decisions. Explore how the collaboration between lab staff and technology creates smarter, productive laboratories. Read the full article to see why human insight remains at the heart of every discovery.
The reproducibility crisis continues to challenge scientific research, with even small variations in protocols capable of producing drastically different results. A recent study in cancer cell biology revealed that many widely cited findings could not be reliably replicated, underscoring the need for precise, consistent, and well-documented workflows. Laboratory automation addresses this challenge by minimizing human error, ensuring traceability, and executing protocols with uniform precision, turning reproducibility from a persistent obstacle into an achievable standard for reliable, high-impact research.
Repetitive laboratory tasks, such as scheduling instruments, managing samples, and monitoring equipment, are time-consuming and prone to errors. Automation provides a solution by handling routine processes, streamlining workflows, and ensuring accurate, consistent results. This enables staff to focus on higher-value work, including data analysis, experiment planning, and discovery. The article highlights tasks that can be automated, the benefits for lab teams, and how automation can boost productivity while delivering reliable, high-quality outcomes.
Repetitive lab tasks such as sample preparation, data collection, and workflow scheduling can drain valuable time and slow progress. Automation offers a solution, helping labs reclaim over 80% of the time typically spent on manual processes. From high-throughput screening and cell culture management to genomic workflows and clinical diagnostics, automated systems accelerate experiments, reduce errors, and streamline operations. Platforms like Director™ make implementing automation practical, freeing teams to focus on high-value work such as analysis, interpretation, and innovation. Discover how labs are turning time savings into faster results, higher productivity, and more consistent research outcomes.
As laboratories grow, maintaining productivity while managing increased complexity can be challenging. Automation supports the scaling process by streamlining routine tasks, improving resource coordination, and reducing manual errors. With efficient systems in place, labs can increase throughput, maintain data quality, and free up staff to focus on high-value work. Read the full article to see how automation helps labs scale operations and boost productivity.
Manual workflows, disconnected systems, and protocol variations introduce errors and inconsistencies that undermine research accuracy and reproducibility. These challenges slow progress and threaten data integrity. Automation platforms offer a solution by standardizing protocols, enabling real-time monitoring, and automating documentation. This ensures consistent, traceable workflows that enhance reliability and support scalable, high-quality research across multiple sites.
Automation is revolutionizing scientific research by streamlining complex workflows, enhancing data accuracy, and minimizing errors. This shift enables researchers to deliver faster, more reliable results while optimizing resources and maintaining compliance. As the demands of scientific discovery grow, automation has become essential for boosting efficiency and accelerating breakthroughs.
Scientific research is advancing rapidly, driven by cutting-edge technology and the increasing complexity of data. Laboratories face growing pressure to execute intricate protocols, handle large datasets, and comply with strict regulatory standards, often within short timeframes and limited resources. To meet these demands, many institutions are implementing automated systems. Learn more
Automation in biotech research minimises errors, standardises workflows, and ensures traceability, freeing researchers from repetitive tasks. By enhancing precision and compliance, it enables scalable, efficient research with reliable results. Learn more
