Smart Laboratories - The Future of the Lab

When Dutch optometrist Zacharias Janssen invented the first microscope in the 16th century, it transformed the face of science. Since then, technology has advanced in leaps and bounds. Over the past few years, these advances have led to the advent of smart laboratories. So, what exactly is a smart laboratory?

Read on to find out more about what makes a laboratory “smart” and why every facility should take steps to optimise operations.

Intelligent Laboratory Information Management Systems

From academic laboratories run by public universities to privately-operated facilities owned by blue-chip corporations, data drives modern research. High-throughput technologies such as DNA sequencing have allowed scientists to unlock an incredible volume of data. Without the right data management solutions in place, this information can’t be converted into useable information. Intelligent Laboratory Information Management Systems (LIMS)make it easy for laboratories to process large volumes of data. In molecular biology labs, where high-throughput technologies are now standard, intelligent LIMS solutions are indispensable.

Purpose-built laboratory informatics solutions

When it comes to increasing productivity, a high-end laboratory informatics solution is essential. Ideally, laboratories should invest in laboratory informatics solutions designed to fit the needs of their industry. For example, drug discovery and development labs should use informatics solutions designed specifically for the pharmaceuticals sector. This enables researchers to capture, track and maintain critical data throughout thedrug discovery and developmentprocess. Similarly, food analysis laboratories should invest in informatics solutions designed to cater to the unique needs of foodomics researchers.

Integrating different systems

In the past, laboratories have relied on personnel to manually transfer and analyse data. Smart laboratories reimagine this process with systems that actively “talk” and communicate with each other. Automating this process slashes processing and analysis times and reduces the risk of human errors. Building an interconnected laboratory ecosystem helps improve workflows and unlock the full potential of data. This goes hand-in-hand with a significant reduction in costs and an improvement in regulatory compliance.

Considering return on investment

评估投资回报率(ROI)是智能实验室的首要任务。当考虑一个新的系统、仪器或技术时，实验室管理者应该考虑ROI。例如，数据研究管理系统会通过自动整合数据来提高生产力吗?或者，实验室是否可以通过投资一种自动化手动任务的仪器来实现更好的节省?智能实验室在投资新资产时总是考虑ROI。

Information Technology (IT) is the backbone of smart laboratories. Software-as-a-Service (SaaS) has reimagined how laboratories access platforms and optimise workflows. Find out more about the latest SaaS solutions offered by leading LIMS provider LabWare in‘Software-as-a-Service LIMS for QA/QC’.