Technical upgrade of an open-source liquid handler to support bacterial colony screening
Supplemental record retained to make the downloaded paper corpus fully navigable.
- Year
- —
- Skill
- medium
- Docs
- moderate
- Rubric
- 3.6 / 5
Implementation assessment
Scoring by criterion
Scores describe accessibility and implementation characteristics reported in the reviewed source. They are not a measure of scientific quality.
Resolution
Quantitative handling accuracy reported, but minimum volume unclear.
Scalability/Throughput
Evidence of parallel, plate-scale, multi-head, or unattended operation.
Build and Part Sourcing Complexity
Mix of common parts and custom/printed components.
Skill Complexity
Build/operation described as low-skill or basic assembly.
Equipment/Cosumable/Facility Requirement Accessibility
Equipment requirements not explicit; assigned moderate default.
Application Level
Presented as modular or usable across multiple workflows.
Accessibility to documentation
Open resources include several build or operation artifacts.
Validation/Troubleshooting Complexity
Validation includes standards, benchmarking, replicates, or multi-condition tests.
Speed/Cycle Time
Speed evidence suggests rapid, real-time, or automated operation.
Build Time
Build time not reported; assigned neutral score.
Record metadata
Publication data
Crossref and OpenAlex
Publication record
Abstract
The optimization of genetically engineered biological constructs is a key step to deliver high-impact biotechnological applications. The use of high-throughput DNA assembly methods allows the construction of enough genotypic variants to successfully cover the target design space. This, however, entails extra workload for researchers during the screening stage of candidate variants. Despite the existence of commercial colony pickers, their high price excludes small research laboratories and budget-adjusted institutions from accessing such extensive screening capability. In this work we present COPICK, a technical solution to automatize colony picking in an open-source liquid handler Opentrons OT-2. COPICK relies on a mounted camera to capture images of regular Petri dishes and detect microbial colonies for automated screening. COPICK’s software can then automatically select the best colonies according to different criteria (size, color and fluorescence) and execute a protocol to pick them for further analysis. Benchmark tests performed for E. coli and P. putida colonies delivers a raw picking performance over pickable colonies of 82% with an accuracy of 73.4% at an estimated rate of 240 colonies/h. These results validate the utility of COPICK, and highlight the importance of ongoing technical improvements in open-source laboratory equipment to support smaller research teams.
Bibliographic details
Access and metrics
Topics and keywords
Perspective and practical signals
Why it matters
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Limitations
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