Laboratory AutomationRobotics and automationSupplemental record

Establishment of low-cost laboratory automation processes using AutoIt and 4-axis robots

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Matched by doi · retrieved 2026-07-21

Abstract

In most small laboratories, many processes are not yet automated because existing laboratory automation solutions are usually expensive and inflexible to use. Examples of this are autosamplers that are only compatible with one specific laboratory instrument or larger liquid handling stations that are expensive and usually self-contained. A flexible and inexpensive way to automate laboratory processes would be to automate existing laboratory equipment with the help of suitable robotic arms. In this study, we investigate the feasibility of such a strategy based on a low-cost 4-axis robot and freely available software. We used the scripting language AutoIt that automates any Windows-based instrument control software. Using these tools, we automated three fundamentally different laboratory processes: a pipetting process, a use as an autosampler for an atomic absorption spectroscopy instrument, and a more complex process involving the inoculation of bacterial cultures. We also integrated a conventional webcam for 2D barcode recognition. Compared to a trained professional who performed all experiments manually, all setups showed no significant differences in accuracy and precision. In summary, the tested system consisting of a 4-axis robot and freely available software is suitable for flexible automation and has potential for even more complex laboratory processes. Limitations such as a lack of collaboration and speed will be addressed in follow-up studies. The system thus represents a well-suited flexible laboratory automation system for both research and teaching purposes.

Bibliographic details

Published
2022-07-10
Journal/source
SLAS Technology
Publisher
Elsevier BV
DOI
10.1016/j.slast.2022.07.001
Type
journal-article
Language
en
Volume / issue
27 / 5
Pages
312-318
ISSN
2472-6303

Access and metrics

Open access
Yes
OA status
diamond
License
cc-by-nc-nd
Version
publishedVersion
Cited by
22
References
24
Retracted
No

Authors and affiliations

  1. Nicole RuppAlbstadt-Sigmaringen University
  2. Katrin PeschkeAlbstadt-Sigmaringen University
  3. Michael KöpplLead Discovery Center (Germany)
  4. David DrissnerAlbstadt-Sigmaringen University
  5. Thole ZüchnerCorresponding authorAlbstadt-Sigmaringen University

Topics and keywords

Biosensors and Analytical DetectionImage Processing Techniques and ApplicationsElectrowetting and Microfluidic TechnologiesLaboratory automationAutomationScripting languageSoftwareRobotComputer scienceProcess (computing)BarcodeInstrumentation (computer programming)Instrument controlProcess automation systemSimulation