Good science is based on asking the right questions. Once a research focus is defined, ideally, scientists can then apply tools that accelerate investigations. Lab automation is one of the most effective accelerators in R&D. It can be used across many protocols, such as high-throughput DNA assembly and cloning, CRISPR screening, sequencing analyses, large-scale cell culture, and expression or purification of nucleic acids or proteins. Co-evolving AI tools are also becoming central to research, placing higher demands on our capacity to ask the right questions. The fact is, collaboration across disciplines to implement lab automation technologies has become essential to advancing the life sciences.
In today’s research atmosphere, it’s wise to be able to answer the question “Should we add automation to this project?” Insights from experienced individuals can help develop a successful approach. I was fortunate to interview a select group of industry experts who will be presenting at the upcoming Future Labs, Automation & Technology Summit West, to be held on November 18th, 2025, in San Diego, CA.
The Labconscious community thanks these individuals for sharing their unique perspectives for the three-part series!
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High-quality data supports sustainability in research
Taking an end-to-end view of your experimental approach can also reveal ways to reduce running costs and minimize carbon footprints. Certainty on meeting those goals comes from producing high-quality data. At New England Biolabs®, we leverage our expertise in enzymology to support scientists advancing diagnostic and therapeutic innovation and manufacturing. In general, we find that molecular workflows that shorten hands-on time and material waste are even more potent when scaled up with lab automation. Ultimately, strategic lab automation optimizes the potential for discovery while meeting our ethical obligation to be good stewards of resources in life science.
Thank you for being “labconscious”!