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Lab Automation

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LAB AUTOMATION RESOURCE GUIDE<br />

The <strong>Lab</strong> of Tomorrow<br />

What might the lab of the future look like?<br />

Where will automation fit in? Here are some predictions.<br />

by Laurence Painell<br />

The next five years<br />

Despite the speed of technological advancements,<br />

introducing new systems and processes in a laboratory<br />

can take time. Over the next five years, it might not look<br />

as though labs are changing significantly—but if you look<br />

beneath the surface, some major developments are likely to<br />

be taking place.<br />

• The cloud will become the norm even in regulated<br />

environments<br />

• Integration between software, services, and physical<br />

devices will be critical to providing a backbone for<br />

laboratory technologies<br />

• Collaboration and outsourcing will become<br />

commonplace<br />

• Data will become increasingly open and available across<br />

a given lab or business<br />

• The keyboard will be replaced with voice recognition<br />

technology<br />

• As the technology matures, 3-D printing will work its<br />

way further into prototyping and manufacturing<br />

EXPERT TIP:<br />

THE SECRET TO<br />

AUTOMATION SUCCESS<br />

“I think the secret to automation success is two-fold. First,<br />

know your extraction method really well and think about<br />

how you would perform it from a robot’s perspective.<br />

The method has to be automatable and no robot will be<br />

as perceptive or responsive to variations in the process as<br />

a human operator. Second, be the master of your robot.<br />

Vendor companies will provide programming support, but<br />

to guarantee success you need at least one staff member<br />

who is capable of programming the instrument. Vendors<br />

may be experts at programming, but they are unlikely to<br />

know your process as intimately as you do.”<br />

Rohan Steel, PhD, project leader in the Biological<br />

Research Unit at Racing Analytical Services, Ltd.<br />

(RASL), in Flemington, Australia<br />

• AI and machine learning will becoming more prevalent<br />

• <strong>Lab</strong>s and businesses could decide to unlock their legacy<br />

data for the greater good<br />

• The internet of things (IoT) will create a steep<br />

change in efficiency by allowing for bidirectional<br />

communication between instruments, robots, and the<br />

systems and services used<br />

• It will be interesting to see how augmented reality<br />

develops over the next decade—but it’s something<br />

we could see slowly integrated into the laboratory<br />

environment<br />

The next 10 years<br />

This is where we start to break from certainty and start to<br />

look at changes that we expect to see based on the current<br />

evolution of technologies.<br />

• Radio-frequency identification RFID tags that allow the<br />

automatic reading of data will become cheap enough to<br />

be ubiquitous<br />

<strong>Lab</strong> Manager 2017<br />

3<br />

<strong>Lab</strong>Manager.com

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