5 Myths About Laboratory Automation

1. Automation is just for high-throughput screening

2. Automation is too costly for small biotech and academic labs, and can only be afforded by big-pharma

3. Current technology only allows the automation of a small number of standardised procedures or experiments

4. Working with a cloud lab will require coding skills

5. Are scientists at risk of being replaced by a robot?

Automating DNA sequencing helped to improve data quality, freed researchers time, and helped to limit dangerous research related waste. Scientists using automated methods to extract DNA, for use in whole-genome sequencing (WGS). Original image sourced from the US Government department: Public Health Image Library, Centers for Disease Control and Prevention.

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Arctoris Ltd

Arctoris Ltd


We are the world’s first fully automated R&D platform generating drug discovery data on demand www.arctoris.com