Laboratories of the future

Precision & efficiency through automation

Traditionally, laboratory work has been time-consuming and labor-intensive. Scientists have manually pipetted liquids, analyzed samples, and interpreted data, opening the door to human error and inefficient workflows. With automated systems, these processes can be simplified and supported by technology, not only increasing accuracy but also freeing up time for researchers to focus on more complex analysis and interpretation.

"Automated laboratory processes allow experiments to be conducted with higher repeatability and less variability. This means that research results are more reliable and development cycles can be shortened," says Anela Hukanovic Mehmedagic, Account Manager at Plantvision.

LIMS: The backbone of modern laboratories

One of the most powerful digital tools in Life Science is the LIMS (Laboratory Information Management System). A LIMS system is a digital platform used to manage and track samples, experiments and data in laboratory environments.

The benefits of LIMS include:

✅ More efficient data management - digitalize the entire sampling process from registration to analysis and reporting. Automates workflows and eliminates bottlenecks in laboratory processes. Integration with analytical instruments simplifies data collection.

✅ Traceability and compliance - Ensures the laboratory meets regulatory requirements by logging all activity and keeping track of the chain of custody of samples. Access controls and role-based permissions protect sensitive information.

✅ Faster decision-making - Provides researchers with real-time access to data, enabling faster analysis and conclusions. Automated reports and dashboards provide a clearer picture of the lab's output.

✅ Better collaboration - Facilitates data sharing between different teams and partners worldwide. Supports multi-site and global operations with centralized database.

"Without a robust LIMS system, it becomes a challenge to ensure traceability, data integrity and compliance in today's laboratories, where large amounts of data are generated. A well-implemented LIMS can make the difference between a slow, manually driven process and a highly automated, efficient and quality-assured operation," says Anela Hukanovic Mehmedagic.

AI & digital twins drive development

One of the most exciting aspects of digitization is the use of AI and digital twins - virtual replicas of laboratory environments that can simulate experiments before they are conducted in real life. With the help of AI, huge amounts of data can be analyzed quickly and efficiently, providing researchers with insights that would otherwise take months to develop.

Examples of technologies that are revolutionizing laboratories:

Robotic pipetting systems - Automate sample handling and reduce the risk of contamination.
Image analysis with AI - Enabling faster and more accurate diagnoses through machine learning.
Cloud-based databases - Facilitates global collaboration and sharing of research data in real time.