Literature DB >> 35895201

Phenotyping Complex Plant Structures with a Large Format Industrial Scale High-Resolution X-Ray Tomography Instrument.

Keith E Duncan1, Christopher N Topp2.   

Abstract

Phenotyping specific plant traits is difficult when the samples to be measured are architecturally complex. Inflorescence and root system traits are of great biological interest, but these structures present unique phenotyping challenges due to their often complicated and three-dimensional (3D) forms. We describe how a large industrial scale X-ray tomography (XRT) instrument can be used to scan architecturally complex plant structures for the goal of rapid and accurate measurement of traits that are otherwise cumbersome or not possible to capture by other means. The combination of a large imaging cabinet that can accommodate a wide range of sample size geometries and a variable microfocus reflection X-ray source allows noninvasive X-ray imaging and 3D volume generation of diverse sample types. Specific sample fixturing (mounting) and scanning conditions are presented. These techniques can be moderate to high throughput and still provide unprecedented levels of accuracy and information content in the 3D volume data they generate.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Excavated root system; Inflorescence; Panicle; Phenotyping; X-ray tomography

Mesh:

Year:  2022        PMID: 35895201     DOI: 10.1007/978-1-0716-2537-8_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  22 in total

Review 1.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

Review 2.  Lights, camera, action: high-throughput plant phenotyping is ready for a close-up.

Authors:  Noah Fahlgren; Malia A Gehan; Ivan Baxter
Journal:  Curr Opin Plant Biol       Date:  2015-02-27       Impact factor: 7.834

3.  Persistent homology and the branching topologies of plants.

Authors:  Mao Li; Keith Duncan; Christopher N Topp; Daniel H Chitwood
Journal:  Am J Bot       Date:  2017-03-24       Impact factor: 3.844

4.  High-throughput phenotyping.

Authors:  Malia A Gehan; Elizabeth A Kellogg
Journal:  Am J Bot       Date:  2017-04-11       Impact factor: 3.844

5.  The Persistent Homology Mathematical Framework Provides Enhanced Genotype-to-Phenotype Associations for Plant Morphology.

Authors:  Mao Li; Margaret H Frank; Viktoriya Coneva; Washington Mio; Daniel H Chitwood; Christopher N Topp
Journal:  Plant Physiol       Date:  2018-06-05       Impact factor: 8.340

6.  Plant Phenotyping: An Active Vision Cell for Three-Dimensional Plant Shoot Reconstruction.

Authors:  Jonathon A Gibbs; Michael Pound; Andrew P French; Darren M Wells; Erik Murchie; Tony Pridmore
Journal:  Plant Physiol       Date:  2018-08-10       Impact factor: 8.340

Review 7.  Future scenarios for plant phenotyping.

Authors:  Fabio Fiorani; Ulrich Schurr
Journal:  Annu Rev Plant Biol       Date:  2013-02-28       Impact factor: 26.379

Review 8.  How can we harness quantitative genetic variation in crop root systems for agricultural improvement?

Authors:  Christopher N Topp; Adam L Bray; Nathanael A Ellis; Zhengbin Liu
Journal:  J Integr Plant Biol       Date:  2016-03-11       Impact factor: 7.061

9.  Whole-Plant Manual and Image-Based Phenotyping in Controlled Environments.

Authors:  Erica Agnew; Adam Bray; Eric Floro; Nate Ellis; John Gierer; César Lizárraga; Darren O'Brien; Madeline Wiechert; Todd C Mockler; Nadia Shakoor; Christopher N Topp
Journal:  Curr Protoc Plant Biol       Date:  2017-03

10.  Digital imaging of root traits (DIRT): a high-throughput computing and collaboration platform for field-based root phenomics.

Authors:  Abhiram Das; Hannah Schneider; James Burridge; Ana Karine Martinez Ascanio; Tobias Wojciechowski; Christopher N Topp; Jonathan P Lynch; Joshua S Weitz; Alexander Bucksch
Journal:  Plant Methods       Date:  2015-11-02       Impact factor: 4.993

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