Evidence map›Paper›PMID 41174070›Full record

ArticleScientific reports2025

OCT analysis of white clover leaves affected by regional ozone stress.

Hayate Goto, Jumar Cadondon, Maria Cecilia Galvez, Edgar Vallar, Tatsuo Shiina

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hayate GotoGraduate School of Science and Engineering, Chiba University, Chiba-Shi, Chiba, 263-8522, Japan. gt_h@chiba-u.jp.
Jumar CadondonDivision of Physical Sciences and Mathematics, College of Arts and Sciences, University of the Philippines Visayas, 5023, Miagao, Iloilo, Philippines.
Maria Cecilia GalvezEnvironment And RemoTe Sensing Research (EARTH) Laboratory, Physics Department, College of Science, De La Salle University Manila, 0922, Manila, Philippines.
Edgar VallarEnvironment And RemoTe Sensing Research (EARTH) Laboratory, Physics Department, College of Science, De La Salle University Manila, 0922, Manila, Philippines.
Tatsuo ShiinaGraduate School of Science and Engineering, Chiba University, Chiba-Shi, Chiba, 263-8522, Japan.

Funding

Japan Science and Technology Agency JPMJFS2107
6 · The paper itself

Abstract

Plants are exposed to atmospheric conditions for extended periods, allowing the observation of their color, texture, and internal structure to infer the surrounding atmospheric conditions. High ozone concentrations, particularly in urban areas, are harmful to plants. Optical coherence tomography (OCT) is a non-destructive method to evaluate samples' internal structure and optical properties, allowing potential measurements without any influence on the sample. This study aimed to estimate the ozone damage on plant leaves by measuring the OCT of white clover (Trifolium repens), an indicator plant of ozone influence, collected from different areas. Initially, to compare the influence of ozone and the impact of transportation from sampling regions, the temporal changes in water transpiration from cutting leaves were evaluated. Next, the leaves of white clover collected from various regions were measured using OCT. Changes on OCT images in light intensity, layer thickness, and texture (contrast, correlation, energy) within the leaves were analyzed to compare the presence or absence of the stresses (ozone and water stresses). The first experiment confirmed that the trends in Energy changes in the OCT images were opposite for ozone and water stress, with ozone increasing Energy due to widespread tissue disruption that blurred texture patterns, and water stress decreasing it due to localized shrinkage. In the second experiment, similar to the first experiment, a decrease in the intensity of the palisade tissue, an increase in thickness, and an increase in Energy were observed in regions with particularly high ozone concentrations. These results confirmed that OCT image analysis could detect specific plant changes due to ozone and water stress. This study demonstrates the potential of in-situ measurements of plants using OCT to infer the environmental conditions to which the plants are exposed.

Indexed as

OzonePlant LeavesStress, PhysiologicalTomography, Optical CoherenceTrifoliumOzoneEnvironmental assessmentGLCMIndicator plantOptical coherence tomographyOzone

Identifiers

PMID41174070
PMCPMC12578874

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.