ArticlePlant methods2019
X-ray microtomography and linear discriminant analysis enable detection of embolism-related acoustic emissions.
Article in Plant methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Unraveling the hydraulic vulnerability of tree seedlings using optical and acoustic techniques.Journal of experimental botany · 2026Article
- Channel deformations during elastocapillary spreading of gaseous embolisms in biomimetic leaves.Interface focus · 2025Article
- Foliar water uptake does not contribute to embolism repair in beech (Fagus sylvatica L.).Annals of botany · 2022Article
- Limited plasticity of anatomical and hydraulic traits in aspen trees under elevated CO2 and seasonal drought.Plant physiology · 2022Article
- Acoustic Vulnerability, Hydraulic Capacitance, and Xylem Anatomy Determine Drought Response of Small Grain Cereals.Frontiers in plant science · 2021Article
- High-Resolution X-Ray Computed Tomography: A New Workflow for the Analysis of Xylogenesis and Intra-Seasonal Wood Biomass Production.Frontiers in plant science · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
backgroundAcoustic emission (AE) sensing is in use since the late 1960s in drought-induced embolism research as a non-invasive and continuous method. It is very well suited to assess a plant's vulnerability to dehydration. Over the last couple of years, AE sensing has further improved due to progress in AE sensors, data acquisition methods and analysis systems. Despite these recent advances, it is still challenging to detect drought-induced embolism events in the AE sources registered by the sensors during dehydration, which sometimes questions the quantitative potential of AE sensing.
resultsIn quest of a method to separate embolism-related AE signals from other dehydration-related signals, a 2-year-old potted
conclusionAlthough machine learning could detect similar numbers of embolism-related AE as µCT, there still is insufficient model-based evidence to conclusively attribute these signals to embolism events. Future research should therefore focus on similar experiments with more in-depth analysis of acoustic waveforms, as well as explore the possibility of Fast Fourier transformation (FFT) to remove non-embolism-related AE signals.
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