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  • 1
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    Peripherally applied Abeta-containing inoculates induce cerebral beta-amyloidosis (2010)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2010-10-23
    Description: The intracerebral injection of beta-amyloid-containing brain extracts can induce cerebral beta-amyloidosis and associated pathologies in susceptible hosts. We found that intraperitoneal inoculation with beta-amyloid-rich extracts induced beta-amyloidosis in the brains of beta-amyloid precursor protein transgenic mice after prolonged incubation times.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3233904/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3233904/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Eisele, Yvonne S -- Obermuller, Ulrike -- Heilbronner, Gotz -- Baumann, Frank -- Kaeser, Stephan A -- Wolburg, Hartwig -- Walker, Lary C -- Staufenbiel, Matthias -- Heikenwalder, Mathias -- Jucker, Mathias -- P51 RR000165/RR/NCRR NIH HHS/ -- P51 RR000165-51/RR/NCRR NIH HHS/ -- RR-00165/RR/NCRR NIH HHS/ -- New York, N.Y. -- Science. 2010 Nov 12;330(6006):980-2. doi: 10.1126/science.1194516. Epub 2010 Oct 21.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cellular Neurology, Hertie-Institute for Clinical Brain Research, University of Tubingen, D-72076 Tubingen, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20966215" target="_blank"〉PubMed〈/a〉
    Keywords: Alzheimer Disease/metabolism/pathology ; Amyloid beta-Peptides/administration & dosage/*chemistry/metabolism ; Animals ; Brain/blood supply/*pathology ; Brain Chemistry ; Cerebral Amyloid Angiopathy/metabolism/pathology ; Female ; Injections, Intraperitoneal ; Mice ; Mice, Transgenic ; Plaque, Amyloid/pathology ; Prions/chemistry/metabolism ; Protein Folding ; Time Factors
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Deployment of Quality Layers for Airborne Hyperspectral Imagery and End-to-End Water and Soil Products (HyQuaPro) (2010)
    In:  Proceedings
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    Publication Date: 2020-02-12
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/conferenceObject
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  • 3
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    Retrieval of soil erosion relevant parameters in the Western Australian wheat belt region from VNIR-SWIR and TIR spectral signatures (2011)
    In:  34th International Symposium on Remote Sensing of Environment (ISRSE) (Sydney, Australia 2011)
    Details
    Publication Date: 2020-02-12
    Description: With the focus on new available hyperspectral imaging sensors sensitive within the thermal infrared (TIR) wavelength region, this study is testing the ability of the TIR in deriving soil erosion relevant parameters (e.g. texture, organic carbon content) from soil spectral measurements with the respect to commonly used VNIR-SWIR spectrometers. Therefore a study site was chosen located within an agricultural area in Western Australia, which is suffering from soil loss through wind erosion processes. VNIR-SWIR and TIR soil spectra derived from laboratory measurements using common field instruments were therefore resampled to imaging sensor spectral specifications (HyMAP and TASI-600). Prediction models have been established via multivariate regression analysis techniques to quantitatively estimate the soils’ physical-chemical parameters using signatures from different spectral regions.
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/conferenceObject
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  • 4
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    Pb isotope arrays in Mauna Kea lavas from the HSDP-2 drill hole (2001)
    In:  DMG-Tagung
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    Publication Date: 2020-02-12
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/conferenceObject
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  • 5
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    Small scale spatial heterogeneity of Normalized Difference Vegetation Indices (NDVIs) and hot spots of photosynthesis in biological soil crusts (2012)
    In:  Flora
    Details
    Publication Date: 2020-02-12
    Description: Normalized Difference Vegetation Indices (NDVIs) are typically determined using satellite or airborne remote sensing, or field portable spectrometers, which give an averaged signal on centimetre to metre scale plots. Biological soil crust (BSC) patches may have smaller sizes, and ecophysiological, hydrological as well as pedological processes may be heterogeneously distributed within this level of resolution. A ground-based NDVI imaging procedure using low-cost equipment (Olympus Camedia 5000z digital camera equipped with a Hoya R72 infrared filter) was developed in this study to fill this gap at the level of field research, where carrying costly and bulky equipment to remote locations is often the limiting factor for data collection. Method principle and field data are presented, and the field experiment was deepened comparing NDVI measurements and CO2 turnover of soil crust samples in the laboratory, backing the reliability of the approach. A commercially available colour rendition chart with known red (600–700 nm) and NIR (800–900 nm) reflectances was placed into each scene and used for calibration purposes on a per-image basis. Generation of NDVI images involved (i) determination of red and NIR reflectances from the pixel values of the red and NIR channels, respectively, and (ii) calculation and imaging of the NDVI, where NDVI values of −1 to +1 were mapped to grey values of 0 to 255. The correlation between NDVI values retrieved from these images and NDVI values determined using field spectrometry was close (r2 = 0.91), the 95% confidence interval amounted to 0.10 NDVI units. The pixel resolution was 0.8 mm in the field and 0.2 mm in the laboratory, but can still be improved significantly with closer distance to the crust or with higher camera resolution. NDVI values obtained using the new method were related to the net CO2 uptake of BSCs, where both slope and correlation coefficient of the respective regression function conformed with literature data. Geostatistical analysis revealed that both spatial variability of net CO2 uptake as well as size of individual hot spots of this parameter increased with crust development. The latter never exceeded 4 mm in the investigated crusts, which points to the necessity of high resolution imaging for linking remote sensing with ecophysiology. Perspectively, the new method could be used for field monitoring of both biological soil crusts and vascular vegetation.
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/article
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  • 6
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    HYSOMA: An easy-to-use software interface for soil mapping applications of hyperspectral imagery (2011)
    In:  7th EARSeL SIG Imaging Spectroscopy workshop (Edinburgh, Scotland 2011)
    Details
    Publication Date: 2020-10-28
    Description: In the frame of the EU-FP7 EUFAR (European Facility for Airborne Research) project, higher performing soil algorithms are being developed as demonstrators for end-to-end processing chains with harmonized quality measures. For this, a review of existing soil algorithms and methodologies based on soil spectroscopy currently successful for the identification and prediction of soil properties was performed. Based on this review, the HYSOMA (Hyperspectral SOil MApper) interface was developed at the GFZ German Research Centre for Geosciences in the Remote Sensing section. It is a software package written in the IDL language for fully automatic generation of semi-quantitative maps of surface soil moisture content, soil organic carbon (SOC) content, and soil mineralogical content (e.g. iron oxide, clay mineral , carbonate). The main motivation for HYSOMA development is to provide non-expert users with a suite of tools that can be used for soil applications. Also, HYSOMA tries to incorporate modern hyperspectral algorithms with an easy-to-use graphical interface based on simple menu-driven functions. It is achieved by providing a software with basic image file import based on ENVI format, soil mask option removing water and vegetation pixels based on simple water and vegetation indexes, and performing soil functions based on analytical and empirical algorithms where no user input data (e.g. spectral libraries, ground truth data) is needed. Additional tools that allow fully quantitative soil mapping are implemented for more experienced users. In this paper, we present the development strategy of the HYSOMA toolbox, current status, and examples of derived soil maps.
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/conferenceObject
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  • 7
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    Applicability of the Thermal Infrared Spectral Region for the Prediction of Soil Properties Across Semi-Arid Agricultural Landscapes (2012)
    In:  Remote Sensing
    Details
    Publication Date: 2020-02-12
    Description: In this study we tested the feasibility of the thermal infrared (TIR) wavelength region (within the atmospheric window between 8 and 11.5 μm) together with the traditional solar reflective wavelengths for quantifying soil properties for coarse-textured soils from the Australian wheat belt region. These soils have very narrow ranges of texture and organic carbon contents. Soil surface spectral signatures were acquired in the laboratory, using a directional emissivity spectrometer (μFTIR) in the TIR, as well as a bidirectional reflectance spectrometer (ASD FieldSpec) for the solar reflective wavelengths (0.4–2.5 μm). Soil properties were predicted using multivariate analysis techniques (partial least square regression). The spectra were resampled to operational imaging spectroscopy sensor characteristics (HyMAP and TASI-600). To assess the relevance of specific wavelength regions in the prediction, the drivers of the PLS models were interpreted with respect to the spectral characteristics of the soils’ chemical and physical composition. The study Remote Sens. 2012, 4 3266 revealed the potential of the TIR (for clay: R2 = 0.93, RMSEP = 0.66% and for sand: R2 = 0.93, RMSEP = 0.82%) and its combination with the solar reflective region (for organic carbon: R2 = 0.95, RMSEP = 0.04%) for retrieving soil properties in typical soils of semi-arid regions. The models’ drivers confirmed the opto-physical base of most of the soils’ constituents (clay minerals, silicates, iron oxides), and emphasizes the TIR’s advantage for soils with compositions dominated by quartz and kaolinite.
    Keywords: 550 - Earth sciences
    Type: info:eu-repo/semantics/article
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