ReviewFrontiers in plant science2026
Live spatial validation of plant-microbe interactions in the rhizosphere with light-sheet fluorescence microscopy.
Review in Frontiers in plant science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant-microbe interactions in the rhizosphere are spatial events, yet mechanisms are often inferred from bulk samples, endpoint images, or community profiles averaged across heterogeneous root zones. Rather than surveying LSFM hardware or rhizosphere imaging broadly, this review evaluates light-sheet fluorescence microscopy (LSFM) as a platform for claim-level live spatial validation. Evidence is separated into four levels: A, direct LSFM evidence; B, an LSFM-compatible sample or device demonstrated with another modality; C, a correlative or validation modality; and D, a proposed future application. Within the verified full-text evidence set, direct evidence is concentrated in whole-rhizosphere tracking of Bacillus populations, plant reporter responses during early root-fungus interactions, and rhizobial attachment and infection of root hairs. Many arbuscular mycorrhizal and biocontrol applications remain prospective. We compare instrument and sample choices across field of view, numerical aperture, voxel sampling, time interval, spectral channels, and matrix realism; define root-centric metrics for arrival, residence, occupancy, growth, and persistence; and distinguish simultaneous, sequential
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