To address this challenge, the ORNL team set a clear goal: develop an automated script that identifies the most efficient electroporation pulse for transforming plasmid DNA into a given bacterium.
Leveraging existing automation infrastructure - including the Lonza 4D Nucleofector 96-well Unit, liquid handling robots, plate readers, incubators, and colony pickers - the team designed a workflow that:
- Tests 17 bacterial pulse codes simultaneously
- Includes replicates and no-pulse controls
- Automates serial dilution and spot plating
- Compares survival and transformation efficiency using ± antibiotic selection
In this workflow, the team examined key sources of error, such as: Pipetting accuracy during serial dilutions (especially, when reusing pipette tips), dispensing height during spot plating and effects of agar unevenness, liquid viscosity, and dispensing speed.
Rather than setbacks, these findings highlighted the strength of automation: errors became visible, reproducible, and therefore correctable.