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High Resolution Images (high + resolution_image)

Distribution by Scientific Domains

Life Sciences	75%

Selected Abstracts

Network structure of projections extending from peripheral neurons in the tunic of ascidian larva

DEVELOPMENTAL DYNAMICS, Issue 8 2010
Hiroshi Q. Terakubo
Abstract In ascidian Ciona intestinalis, a subset of trunk epidermal neurons were shown to possess external network of neural projections. To characterize a more complete network in naturally hatched (chorionated) larvae, we visualized the structure with a confocal laser scanning microscope. High resolution images revealed the huge network consisting of several subnetworks in whole-larval tunic. We named this network the ASNET (ascidian dendritic network in tunic). The ASNET was dynamically generated and collapsed during larval stages. Interestingly, one of the subnetworks found around apical trunk epidermal neurons was bilaterally asymmetric. In caudal epidermal neurons, transmission electron microscopy revealed that 9+2 axonemes were accompanied by a vesicle-containing mass in the ASNET arbor, but the distal end of the arbor contained only the vesicle-containing fibrous mass and no 9+2 axonemes. The characteristics of the ASNET suggest that it forms a unique outer body network in the ascidian larval tunic. Developmental Dynamics 239:2278,2287, 2010.© 2010 Wiley-Liss, Inc. [source]

2113: AO imaging in AMD

ACTA OPHTHALMOLOGICA, Issue 2010
N MASSAMBA
Purpose Two different systems, adaptive optics scanning laser ophthalmoscope (AOSLO), and Spectral Domain Ophtalmoloscopy (SD-OCT) were used to visualize cones in the outer neurosensory retina overlying soft macular drusen and the surrounding retinal areas. Methods High resolution images were obtained with Adaptive Optics (AO) in addition to complete ophthalmic examination including BCVA on ETDRS chart, biomicroscopic examination, autofluorescence imaging, fluorescein and indocyanine angiographies (HRA2 Heidelberg ,Germany) and SD-OCT. The AO image are then compared with conventional infrared and SD-OCT. Soft macular drusen from 50 patients (age between 65 and 85) visible on the scanning laser ophthalmoscope(SLO) examination were evaluated included in the study Results The soft drusen were visible in AO images as generally round areas delimited by a peripheral low-reflectance line. The highly reflective photoreceptor inner/outer segment junction (IS/OS) can be used as a pattern of photoreceptors integrity in SD-OCT images. In areas where the IS/OS junction is absent on SD-OCT, no cones are visualized in registered AOSLO images. In the inner area of many drusen, hyper reflective spots of a size between 2 and 15 µm were sometimes isolated, sometimes grouped into tight aggregates of 2 to 40 components. Cone photoreceptors were visible in areas between drusen in most AO images, however the mosaic image sharpness was significantly less uniform in these elderly patients than previously observed in younger, healthy retinas. Conclusion This study shows the synergistic nature of these two high-resolution retinal imaging systems The microscopic characteristics of soft drusen on AO imaging suggest some analogy with the anatomopathologic characteristics. AO technology will be a powerful tool to refine their clinical classification [source]

High resolution imaging of the knee on 3-Tesla MRI: A pictorial review

CLINICAL ANATOMY, Issue 5 2008
N. Griffin
Abstract The recent introduction of 3-Tesla MRI offers substantial advances in musculoskeletal applications. High resolution images can now be obtained with shorter data acquisition times. This article provides a pictorial review of 3-Tesla imaging in the knee with descriptions of both normal anatomy and the more common lesions involving the menisci, ligaments, and articular cartilage. A discussion of the issues associated with imaging at higher field strengths is also included. Clin. Anat. 21:374,382, 2008. © 2008 Wiley-Liss, Inc. [source]

Topographic spatial characterisation of grey seal Halichoerus grypus breeding habitat at a sub-seal size spatial grain

ECOGRAPHY, Issue 3 2001
S. D. Twiss
Expansion within breeding colonies may critically depend upon the availability of suitable breeding habitat. Here we use topographic modelling in a GIS to characterise suitable pupping habitat and accurately predict the pattern of colonisation in an expanding grey seal breeding colony-the Isle of May (Scotland), We use high resolution images from large format aerial photographs of the colony to generate sub-metre accurate Digital Terrain Models (DTMs), GIS modelling with these DTMs provides topographic measures of elevation, slope and ease of access to sea and freshwater pools at a 2 m grid cell size. Seal locations during the 1994 breeding season, with sex-age class, were also digitised from the same images. We examine how the physical attributes of cells (locations) with and without pups differ and identify areas suitable for pupping but remaining unoccupied during 1994. We predict patterns of future colonisation by characterising areas differentiated by the densities of pups within 5 m grid cells and identifying areas, both occupied or unoccupied, with a potential for increased future pupping densities. Our predictions were tested by examining pup distributions observed in the 1998 breeding season. Occupied sites were significantly closer to freshwater pools and access to the sea (p < 0.001) than unoccupied sites suggesting that proximity to water may restrict colony expansion before all areas of suitably flat terrain are occupied. All pup density classes occurred in sites with similar slope values and distance to pools. However, higher pupping densities occurred closer to access points (p = 0.014). Pup densities observed in 1998 revealed that our 1994 predictions were accurate (p < 0.0001). Only 12% of 466 grid cells had higher densities in 1998 than predicted, of which 88% differed by only 1 pup. These incorrectly classified cells occurred at the expanding edge of the colony (in a more topographically homogenous area) and at the main access points from the sea (major traffic zones). These results demonstrate the value of the accurate quantification of topographic parameters at the appropriate spatial grain (in this case below the size of the individual) for use in habitat classification and predictions of habitat utilization. [source]