Microscopy & ImagingLaboratory AutomationMicroscopy and imagingRobotics and automationSupplemental record

Exploiting open source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology

Supplemental record retained to make the downloaded paper corpus fully navigable.

medium skillmoderate docsCrossrefOpenAlex
Publication data

Crossref and OpenAlex

Publication record

Matched by doi · retrieved 2026-07-21

Abstract

Growth in open-source hardware designs combined with the low-cost of high performance optoelectronic and robotics components has supported a resurgence of in-house custom lab equipment development. We describe a low cost (below $700), open-source, fully customizable high-throughput imaging system for analytical microbiology applications. The system comprises a Raspberry Pi camera mounted on an aluminium extrusion frame with 3D-printed joints controlled by an Arduino microcontroller running open-source Repetier Host Firmware. The camera position is controlled by simple G-code scripts supplied from a Raspberry Pi singleboard computer and allow customized time-lapse imaging of microdevices over a large imaging area. Open-source OctoPrint software allows remote access and control. This simple yet effective design allows high-throughput microbiology testing in multiple formats including formats for bacterial motility, colony growth, microtitre plates and microfluidic devices termed 'lab-on-a-comb' to screen the effects of different culture media components and antibiotics on bacterial growth. The open-source robot design allows customization of the size of the imaging area; the current design has an imaging area of ~420 × 300mm, which allows 29 'lab-on-a-comb' devices to be imaged which is equivalent 3480 individual 1μl samples. The system can also be modified for fluorescence detection using LED and emission filters embedded on the PiCam for more sensitive detection of bacterial growth using fluorescent dyes.

Bibliographic details

Published
2019-11-19
Journal/source
PLOS ONE
Publisher
Public Library of Science (PLoS)
DOI
10.1371/journal.pone.0224878
Type
journal-article
Language
en
Volume / issue
14 / 11
Pages
e0224878
ISSN
1932-6203

Access and metrics

Open access
Yes
OA status
gold
License
cc-by
Version
publishedVersion
Cited by
38
References
38
Retracted
No

Authors and affiliations

  1. Sarah NeedsCorresponding authorUniversity of Reading
  2. Tai The DiepUniversity of Reading
  3. Stephanie P. BullUniversity of Reading
  4. Anton Lindley-DecaireThe Open University
  5. Partha RayUniversity of Reading
  6. Alexander D. EdwardsUniversity of Reading

Topics and keywords

Biosensors and Analytical DetectionCell Image Analysis TechniquesBacterial Identification and Susceptibility TestingFirmwareComputer hardwareComputer scienceThroughputOpen source hardwareSoftwareLaboratory automationOpen sourceEmbedded systemArtificial intelligenceAutomationOperating system

Funding

  • Engineering and Physical Sciences Research Council · EP/R022410/1