ArticlePlant physiology2015
Application of Optical Topometry to Analysis of the Plant Epidermis.
Article in Plant physiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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
10 citing papers in PubMed, 19 citations in OpenAlex.
- Understanding plant phenotypes in crop breeding through explainable AI.Plant biotechnology journal · 2025Review
- Reducing stomatal density by expression of a synthetic epidermal patterning factor increases leaf intrinsic water use efficiency and reduces plant water use in a C4 crop.Journal of experimental botany · 2024Article
- Machine learning-enabled computer vision for plant phenotyping: a primer on AI/ML and a case study on stomatal patterning.Journal of experimental botany · 2024Review
- Stomatal development in the changing climate.Development (Cambridge, England) · 2024Review
- Century-long timelines of herbarium genomes predict plant stomatal response to climate change.Nature ecology & evolution · 2024Article
- eDNA Metabarcoding- and Microscopic Analysis for Diet Determination in Waterfowl, a Comparative Study in Vejlerne, Denmark.Biology · 2023Article
- Machine learning-enabled phenotyping for GWAS and TWAS of WUE traits in 869 field-grown sorghum accessions.Plant physiology · 2021Article
- Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping.Plant physiology · 2021Article
- Correlation and co-localization of QTL for stomatal density, canopy temperature, and productivity with and without drought stress in Setaria.Journal of experimental botany · 2021Article
- Long-Distance and Trans-Generational Stomatal Patterning by COFrontiers in plant science · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The plant epidermis regulates key physiological functions contributing to photosynthetic rate, plant productivity, and ecosystem stability. Yet, quantitative characterization of this interface between a plant and its aerial environment is laborious and destructive with current techniques, making large-scale characterization of epidermal cell parameters impractical. Here, we present our exploration of optical topometry (OT) for the analysis of plant organ surfaces. OT is a mature, confocal microscopy-based implementation of surface metrology that generates nanometer-scale digital characterizations of any surface. We report epidermal analyses in Arabidopsis (Arabidopsis thaliana) and other species as well as dried herbarium specimens and fossilized plants. We evaluate the technology's analytical potential for identifying an array of epidermal characters, including cell type distributions, variation in cell morphology and stomatal depth, differentiation of herbarium specimens, and real-time deformations in living tissue following detachment. As applied to plant material, OT is very fast and nondestructive, yielding richly mineable data sets describing living tissues and rendering a variety of their characteristics accessible for statistical, quantitative genetic, and structural analysis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.