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  SPIRO: the automated Petri plate imaging platform designed by biologists, for biologists

Ohlsson, J., Leong, J., Elander, P., Ballhaus, F., Holla, S., Dauphinee, A., et al. (2024). SPIRO: the automated Petri plate imaging platform designed by biologists, for biologists. The Plant Journal, 118(2), 584-600. doi:10.1111/tpj.16587.

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 Creators:
Ohlsson, JA, Author
Leong, JX1, Author                 
Elander, PH, Author
Ballhaus, F, Author
Holla, S, Author
Dauphinee, AN, Author
Johansson, J, Author
Lommel, M, Author
Hofmann, G, Author
Betnér, S, Author
Sandgren, M, Author
Schumacher, K, Author
Bozhkov, PV, Author
Minina, EA, Author
Affiliations:
1Department Algal Development and Evolution, Max Planck Institute for Biology Tübingen, Max Planck Society, ou_3371686              

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 Abstract: 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.

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 Dates: 2023-122024-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1111/tpj.16587
PMID: 38141174
 Degree: -

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Title: The Plant Journal
  Other : Plant Journal
  Abbreviation : Plant J.
Source Genre: Journal
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Publ. Info: Oxford : Blackwell Science
Pages: - Volume / Issue: 118 (2) Sequence Number: - Start / End Page: 584 - 600 Identifier: ISSN: 0960-7412
CoNE: https://pure.mpg.de/cone/journals/resource/954925579095_1