By automating routine processes, labs can simplify complex procedures, reduce errors, and improve experimental design. This approach not only boosts throughput, speed, accuracy, and reproducibility but also frees researchers to focus on innovative work, ultimately supporting more efficient and reliable scientific outcomes.
Seamless Automation
Lab automation utilizes various automatic detection instruments, sample preparation platforms, storage systems, automatic transportation systems, and computers to automate diverse laboratory operations and processes.
This encompasses sample handling, instrument operation, data collection, and analysis. According to the degree and scale of automation, lab automation can be roughly divided into four levels: single-module automation, workstation-based automation, total laboratory automation, and robot-based intelligence.
Achieving effective lab automation requires more than just a selection of automated devices; it relies on a combination of robust instruments and software that work together seamlessly. From auto-samplers and liquid handling systems to robotic arms, automated storage, analytical instruments, and data processing software, each component plays a role.
Equally essential is an automation platform that integrates these devices, allowing labs to manage complex tasks without disrupting existing workflows. This coordinated approach keeps labs flexible while enhancing productivity and efficiency. At DKSH, our commitment to innovation and efficiency drives us to integrate advanced technologies into our operations.
For labs considering automation, adaptability and scalability are the key concerns. Labs need solutions that can grow with them, whether they’re handling small-scale projects or larger, multi-user workflows. Flexible automation systems can meet these needs, allowing labs to scale up smoothly by integrating new instruments and expanding workflows without disruption as requirements evolve.
Centralized Data
Accurate, high-quality data is essential to research, yet managing large volumes manually can introduce inconsistencies. Automation software centralizes data monitoring and enables real-time analytics, helping labs maintain accuracy and make informed, data-driven decisions. This level of data management is particularly valuable in fields like life sciences and pharmaceuticals, where data integrity is crucial to meaningful outcomes.
For teams new to automated workflows, transitioning can seem overwhelming. Thankfully, many automation tools today are designed with user-friendly interfaces that make it easy for lab staff to design, execute, and monitor processes. By reducing the learning curve, labs can start benefiting from automation sooner, freeing up valuable time for scientists to focus on complex analyses and innovation.
Effective automation requires compatibility with a lab’s existing systems, creating a seamless flow of data and processes. Automation platforms that integrate smoothly with various laboratory instruments help create a cohesive, streamlined workflow. This supports collaboration, enhances data flow, and helps labs maintain high standards of quality and compliance.
A key component of DKSH’s laboratory automation strategy is the Biosero software, renowned for its versatility and powerful automation capabilities that are revolutionizing how we conduct laboratory workflows. The Green Button Go Automation Scheduling Software of Biosero is a central part of our automated processes.
It is excellent at orchestrating complex laboratory workflows, enabling seamless integration and coordination of different instruments and devices in the labs, leading us toward the vision of an unattended "dark light lab". Learn more about our solution here.
