Liquid HandlingAutomated pipettingControl softwareWorkflow automationCurated metadata

OT-Mation: an open-source code for parsing CSV files into Python scripts for control of OT-2 liquid-handling robotics

Record generated from the current DIY biofabrication corpus.

Open-sourcemedium skilllimited docsCrossrefOpenAlex
Publication data

Crossref and OpenAlex

Publication record

Matched by doi · retrieved 2026-07-21

Abstract

Abstract OT-Mation is an open-source Python script designed to automate the programming of OT-2 liquid-handling robots, making combinatorial experiments more accessible to researchers. By parsing user-defined CSV files containing information on labware, reagents, pipettes, and experimental design, OT-Mation generates a bespoke Python script compatible with the OT-2 system. OT-Mation enhances reproducibility, reduces human error, and streamlines workflows, making it a valuable addition to any laboratory utilizing OT-2 robotics for liquid handling. While OT-Mation can be used for setting up any type of experiment on the OT-2, its real utility lies in making the connection between multifactorial experimental design software outputs (i.e. design of experiments arrays) and liquid-handling robot executable code. As such, OT-Mation helps bridge the gap between code-based flexibility and user-friendly operation, allowing researchers with limited programming skills to design and execute complex experiments efficiently.

Bibliographic details

Published
2025-01-01
Journal/source
Synthetic Biology
Publisher
Oxford University Press (OUP)
DOI
10.1093/synbio/ysaf009
Type
journal-article
Language
en
Volume / issue
10 / 1
Pages
Not supplied
ISSN
2397-7000

Access and metrics

Open access
Yes
OA status
gold
License
cc-by
Version
publishedVersion
Cited by
3
References
24
Retracted
No

Authors and affiliations

  1. Alex LaverickNewcastle University
  2. Katherine ConveyNewcastle University
  3. Catherine HarrisonFera Science (United Kingdom) · Newcastle University
  4. Jenny TomlinsonFera Science (United Kingdom)
  5. Jem StachNewcastle University
  6. Thomas P. HowardNewcastle University

Topics and keywords

Genetics, Bioinformatics, and Biomedical ResearchScientific Computing and Data ManagementGenomics and Phylogenetic StudiesPython (programming language)Computer scienceExecutableScripting languageProgramming languageParsingSource codeArtificial intelligenceRoboticsSoftwareWorkflowOperating system

Funding

  • Biotechnology and Biological Sciences Research Council · BB/W01095X/1
  • Institute for Agri-Food Research and Innovation
  • BBSRC Newcastle-Liverpool-Durham Doctoral Training Partnership · 2144113
  • Biotechnology and Biological Sciences Research Council · BB/W01095X/1
  • Institute for Agri-Food Research and Innovation
  • BBSRC Newcastle-Liverpool-Durham Doctoral Training Partnership · 2144113