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Preparation, Scanning and Analysis of Duckweed Using X-Ray Computed Microtomography.
Jones, Dylan H; Atkinson, Brian S; Ware, Alexander; Sturrock, Craig J; Bishopp, Anthony; Wells, Darren M.
Afiliação
  • Jones DH; Integrated Phenomics Group, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
  • Atkinson BS; Hounsfield Facility, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
  • Ware A; Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
  • Sturrock CJ; Hounsfield Facility, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
  • Bishopp A; Division of Plant and Crop Sciences, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
  • Wells DM; Integrated Phenomics Group, School of Biosciences, University of Nottingham, Nottingham, United Kingdom.
Front Plant Sci ; 11: 617830, 2020.
Article em En | MEDLINE | ID: mdl-33488660
ABSTRACT
Quantification of anatomical and compositional features underpins both fundamental and applied studies of plant structure and function. Relatively few non-invasive techniques are available for aquatic plants. Traditional methods such as sectioning are low-throughput and provide 2-dimensional information. X-ray Computed Microtomography (µCT) offers a non-destructive method of three dimensional (3D) imaging in planta, but has not been widely used for aquatic species, due to the difficulties in sample preparation and handling. We present a novel sample handling protocol for aquatic plant material developed for µCT imaging, using duckweed plants and turions as exemplars, and compare the method against existing approaches. This technique allows for previously unseen 3D volume analysis of gaseous filled spaces, cell material, and sub-cellular features. The described embedding method, utilizing petrolatum gel for sample mounting, was shown to preserve sample quality during scanning, and to display sufficiently different X-ray attenuation to the plant material to be easily differentiated by image analysis pipelines. We present this technique as an improved method for anatomical structural analysis that provides novel cellular and developmental information.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido