ArticleBiomolecules2023
Characterization of Potato Tuber Tissues Using Spatialized MRI T2 Relaxometry.
Article in Biomolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Hybrid AI Pipeline for Laboratory Detection of Internal Potato Defects Using 2D RGB Imaging.Journal of imaging · 2025Article
- Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI.Foods (Basel, Switzerland) · 2024Article
- Research Progress of Spectral Imaging Techniques in Plant Phenotype Studies.Plants (Basel, Switzerland) · 2024Review
- Quantitative MRI post-processing algorithm and visualization research based on moisture status detection of winter jujube.Heliyon · 2024Article
- The Effect of Ultrasound on the Rehydration Characteristics of Semi-Dried SaltedFoods (Basel, Switzerland) · 2023Article
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Authors and funding
6 authors at 2 institutions in 1 country.
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Abstract
Magnetic Resonance Imaging is a powerful non-destructive tool in the study of plant tissues. For potato tubers, it greatly assists the study of tissue defects and tissue evolution during storage. This paper describes the MRI analysis of potato tubers with internal defects in their flesh tissue at eight sampling dates from 14 to 33 weeks after harvest. Spatialized multi-exponential T2 relaxometry was used to generate bi-exponential T2 maps, coupled with a classification scheme to identify the different T2 homogeneous zones within the tubers. Six classes with statistically different relaxation parameters were identified at each sampling date, allowing the defects and the pith and cortex tissues to be detected. A further distinction could be made between three constitutive elements within the flesh, revealing the heterogeneity of this particular tissue. Relaxation parameters for each class and their evolution during storage were successfully analyzed. The work demonstrated the value of MRI for detailed non-invasive plant tissue characterization.
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Registered trials
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