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SPIRO: the automated Petri plate imaging platform designed by biologists, for biologists
Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden.
Department of Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Tübingen, Germany; Centre for Organismal Studies (COS), Heidelberg University, Im Neuenheimer Feld 230, Heidelberg, Germany; Center for Plant Molecular Biology (ZMBP), University of Tübingen, Auf der Morgenstelle 32, Tübingen, Germany.
Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden.
Department of Molecular Sciences, Uppsala BioCenter, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Uppsala, Sweden.
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2024 (English)In: The Plant Journal, ISSN 0960-7412, E-ISSN 1365-313X, Vol. 118, no 2, p. 584-600Article in journal (Refereed) Published
Abstract [en]

Phenotyping of model organisms grown on Petri plates is often carried out manually, despite the procedures being time-consuming and laborious. The main reason for this is the limited availability of automated phenotyping facilities, whereas constructing a custom automated solution can be a daunting task for biologists. Here, we describe SPIRO, the Smart Plate Imaging Robot, an automated platform that acquires time-lapse photographs of up to four vertically oriented Petri plates in a single experiment, corresponding to 192 seedlings for a typical root growth assay and up to 2500 seeds for a germination assay. SPIRO is catered specifically to biologists' needs, requiring no engineering or programming expertise for assembly and operation. Its small footprint is optimized for standard incubators, the inbuilt green LED enables imaging under dark conditions, and remote control provides access to the data without interfering with sample growth. SPIRO's excellent image quality is suitable for automated image processing, which we demonstrate on the example of seed germination and root growth assays. Furthermore, the robot can be easily customized for specific uses, as all information about SPIRO is released under open-source licenses. Importantly, uninterrupted imaging allows considerably more precise assessment of seed germination parameters and root growth rates compared with manual assays. Moreover, SPIRO enables previously technically challenging assays such as phenotyping in the dark. We illustrate the benefits of SPIRO in proof-of-concept experiments which yielded a novel insight on the interplay between autophagy, nitrogen sensing, and photoblastic response.

Place, publisher, year, edition, pages
John Wiley & Sons, 2024. Vol. 118, no 2, p. 584-600
Keywords [en]
3D printing, Arabidopsis thaliana, automated image analysis, automated imaging, ImageJ macro, laboratory automation, open science hardware, phenotyping, plant autophagy, R, raspberry pi, root growth, seed dormancy, seed germination, technical advance, time-lapse imaging
National Category
Biochemistry Molecular Biology
Identifiers
URN: urn:nbn:se:umu:diva-219083DOI: 10.1111/tpj.16587ISI: 001129828200001PubMedID: 38141174Scopus ID: 2-s2.0-85180670565OAI: oai:DiVA.org:umu-219083DiVA, id: diva2:1826131
Funder
EU, Horizon 2020, 79943Carl Tryggers foundation , CTS 14 326Carl Tryggers foundation , 20:287Swedish Research Council Formas, 2021-0181Swedish Research Council Formas, 2019-01565Swedish Research Council Formas, 2017-00541German Research Foundation (DFG), CRC110German Research Foundation (DFG), TPA02Swedish Research Council Formas, 2019-0156Swedish Research Council Formas, 2016-2003Knut and Alice Wallenberg Foundation, 2018.0026Swedish Research Council, 621-2013-470Swedish Foundation for Strategic ResearchSwedish University of Agricultural SciencesAvailable from: 2024-01-11 Created: 2024-01-11 Last updated: 2025-02-20Bibliographically approved

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Betnér, Staffan

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