Integrating laboratory instruments with LIMS, ELN or other scientific execution platforms is essential if you want to eliminate manual processes, share data and improve efficiency. But if you have too narrow a focus and one-sided competencies, it can cause missed opportunities or hinder efficient maintenance and scalability of integrations. NNIT’s approach ensures a holistic view that uses integration as levers to improve your business processes.
Most life sciences laboratory equipment, from simple scales and pH meters to application-specific instruments like High-Performance Liquid Chromatography (HPLC), can be integrated with the Laboratory Information Management System (LIMS), Electronic Laboratory Notebooks (ELN), or other platforms.
Integration ensures that all your data is accurately recorded, analyzed, and shared, thereby supporting the workflows in your wet labs. This can greatly improve both your efficiency and data integrity by removing manual processes, reducing the risk of errors and automating workflows.
However, all too often, integration is handled as individual case-by-case projects with a one-sided focus on just one part of the integration, such as the LIMS or ELN.
A one-sided approach limits the development competencies that are available, and you risk neglecting potential opportunities, like optimizing the source systems or delivering a scalable and maintainable architecture using middleware. This creates scalability issues and hinders efficient upkeep.
If your ambition is to achieve a semi-automated or fully automated lab, the complexity rises exponentially. You face greater requirements for orchestrating people and machines and the needs for integrations increase proportionally, putting the maintainability of point-to-point integrations at risk.
To unlock the full potential of your wet lab, you must approach the integration of the instruments and related applications with consideration for the larger picture. This includes the entire laboratory and technology ecosystem: the business processes, people and material workflows, data flows, source systems, end systems and middleware.
You also need to consider the integration and connectivity capabilities of your systems, IT network and security, and middleware technologies supporting connectivity protocols and data transformations.