Visualisation of mycorrhizal fungal structures and quantification of their surface area and volume using laser scanning confocal microscopy |
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Authors: | S Dickson P Kolesik |
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Institution: | (1) Department of Soil and Water and the Centre for Plant Root Symbioses, The University of Adelaide, Waite Campus, PMB 1, Glen Osmond, South Australia 5064, Australia e-mail: sdickson@waite.adelaide.edu.au Tel.: +61-8-83036530, Fax: +61-8-83036511, AU;(2) Department of Horticulture, Viticulture and Oenology and the Centre for Plant Root Symbioses, The University of Adelaide, Waite Campus, PMB 1, Glen Osmond, South Australia 5064, Australia, AU |
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Abstract: | A method has been developed for the visualisation and three-dimensional (3D) measurement of mycorrhizal fungal structures
inside plant roots. Sections of Allium porrum L. roots colonised by Glomus sp. 'City Beach' (WUM 16) and Lilium sp. roots colonised by Scutellospora calospora (Nicol. & Gerd.) Walker & Sanders (WUM 12(2)) were stained with acid fuchsin. This allowed fluorescence from the fungal structures
to be observed under a laser scanning confocal microscope (LSCM) without interference from the plant cells. A series of horizontal
optical sections were collected from a Glomus sp. arbuscule and from a hyphal coil of S. calospora. These data were used to produce extended focus images. Axial distortion in microscopic visualisation due to the refractive
index mismatch between the immersion and mounting media was quantified using vertical scanning of the hyphae. A correction
factor of 0.71 μm was used for the z-interval between the xy-slices. A series of binary xy-images from each structure was
rendered into a 3D graphical model for viewing. The volume and surface area of the structures were estimated using computerised
3D measurement and also by stereological integration of binary xy-images. With both structures, the surface area estimates
varied greatly between the two measuring systems, whereas differences in volume estimates were small. Computerised 3D measurement
was considered more accurate than stereological integration of confocal binary images.
Accepted: 25 August 1999 |
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Keywords: | Arbuscular mycorrhiza Staining Visualisation Confocal microscopy Quantification |
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