2011
DOI: 10.1007/s11368-011-0417-5
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Advanced spectroscopic, microscopic, and tomographic characterization techniques to study biogeochemical interfaces in soil

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Cited by 35 publications
(21 citation statements)
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References 150 publications
(145 reference statements)
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“…3), consistent either with environmental exposure, such as weather or the proximity of a tree root, being important, or with a patchy distribution of the yeast. It is well known that resources are patchily distributed in soils (Hodge, 2006;Rennert, 2012) and the same is true for the microbial life, which tends to live in aggregates and to form spots of activity (Nunan et al, 2003;Ling et al, 2011). This variation offers the possibility that a larger survey might reveal the factors affecting S. paradoxus abundance, and, therefore, provide information about the resources that the yeast exploits.…”
Section: Seasonal Changes In Saccharomyces Abundance and Distributionmentioning
confidence: 99%
“…3), consistent either with environmental exposure, such as weather or the proximity of a tree root, being important, or with a patchy distribution of the yeast. It is well known that resources are patchily distributed in soils (Hodge, 2006;Rennert, 2012) and the same is true for the microbial life, which tends to live in aggregates and to form spots of activity (Nunan et al, 2003;Ling et al, 2011). This variation offers the possibility that a larger survey might reveal the factors affecting S. paradoxus abundance, and, therefore, provide information about the resources that the yeast exploits.…”
Section: Seasonal Changes In Saccharomyces Abundance and Distributionmentioning
confidence: 99%
“…The combination of high spatial resolution (down to 50 nm), high sensitivity (parts per million, ppm, in elemental imaging) and high mass resolution has made this instrument one of the most sensitive tools for spatially resolved elemental and isotopic analysis of complex surfaces. Although most applications of NanoSIMS are related to imaging of biological materials [114][115][116][117][118][119] and soil aggregates, several groups explored the potential of this technique for chemical characterisation of ambient particles. For example, McIntire et al demonstrated the utility of NanoSIMS in studying the three-dimensional (3D) structure of complex organic particles [120].…”
mentioning
confidence: 99%
“…2), the boundary voxels are equally partitioned into full void or solid voxels. This is justified because of the use of monochromatic synchrotron radiation, where the absorption coefficient for each voxel remains the same independent of the projection angle and hence propagation pathway to that voxel through the sample (Rennert et al 2011). This simple approach enabled us to convert the whole raw grey-scale image into a reliable binary blackand-white image representing voids and solids as shown in Fig.…”
Section: Image Processingmentioning
confidence: 99%