Application of Optical Topometry to Analysis of the Plant Epidermis
| Autor: | Miranda J. Haus, Thomas W. Jacobs, Ryan David Kelsch |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Optics and Photonics
genetic structures Physiology Arabidopsis Cell Count Plant Science Plant Epidermis law.invention Quercus Confocal microscopy law Plant Cells Botany Image Processing Computer-Assisted Genetics Arabidopsis thaliana Microscopy Confocal biology fungi Acacia food and beverages Breakthrough Technologies biology.organism_classification eye diseases Plant Leaves Herbarium Surface metrology Plant productivity Waxes Plant Stomata Anisotropy Biological system |
| Zdroj: | Plant Physiology. 169:946-959 |
| ISSN: | 1532-2548 0032-0889 |
| DOI: | 10.1104/pp.15.00613 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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