Interpretation of image

The factor A has been measured for a variety of samples, indicating that the approximation can be applied up to quasi-atomic resolution. In the case of biological specimens typical values of are of the order of 5-7%, as detemiined from images with a resolution of better than 10 A [37,38]- For an easy interpretation of image contrast and a retrieval of the object infomiation from the contrast, such a combination of phase and amplitude hifomiation is necessary. 

For a particular biomedical application of CRS microscopy, the best choice whether to use CARS or SRS detection depends on the optimal balance between the pros and cons of each technique regarding its detection sensitivity, image acquisition time, and interpretability of image contrast and spectrum. In the following, we provide a critical discussion of the advantages and disadvantages of both complementary detection techniques ... 

Electron microscopy Enables high-resolution imaging of cellular-material interaction Morphological/ topographical information but subjective interpretation of images Yes... 

Spatial information. Another important difference between relational databases and image databases is that implicit spatial information is critical for interpretation of image contents, but there is no such requirement in relational databases. One approach to this problem is to extract position-independent features before searching for patterns between image datasets. 

Diagnosis based on interpretation of imaging, which is likely to vary between individuals and centers also, sensitivity of imaging techniques is likely to increase with fimo lA/ith Ho>/oiA)pi-nents in computed i magnetic resonance... 

Equation (3) indicates that the STM tip does probe the density of electronic contours rather than the surface topography in terms of a hard-sphere model [47]. Electronic contours generally coincide with atoms on metals. With semiconductors the interpretation of images is not trivial because electrons are located in bound states (dangling bonds on clean surfaces in UHV, chemical bonds between surface atoms and ligands in liquids) whose density and occupation can vary from one atom to another. 

The detailed interpretation of electron microscope images produced using any of the operating modes discussed in this chapter requires as complete an understanding as possible of the diffraction process. The next two chapters develop and explain as simply as possible the current theories of electron diffraction by crystals in order to provide a basis for the interpretation of images of crystal defects (such as dislocations, stacking faults, and twins) and of lattice images. 

Provision of radar images through the Charter (first phase, in the period 14/11/2002 to 5/12/2002) and then directly from the European Space Agency (second phase, in the period 6/12/2002 to 5/3/2003). Interpretation of images by the JRC and delivery of relevant information to DG-ENV ... 

Particular caution is necessary for interpretation of images containing small conductive spots (0 < h < h ) from Fig. 7, one can see that such features may appear as conductors at smaller L and as insulators at larger L. These are typical for surfaces modified with self-assembled molecular monolayers (SAMs). The theory was recently developed for a substrate cov-... 

Further interpretation of imaging data based on PCA is limited. PCA is not able to classify spectra as similar, and moreover spectra that are similar in one principal component may be very different in another. To determine groups of similar spectra, other classification or clustering techniques have to be applied, such as the hierarchical clustering discussed here. 

Electron-specimen interactions in LVSEM are often quite different from those in conventional SEM. Reimer [165] has pointed out that the physics of the 0.5-5 kV and 5-30 kV ranges differ in many important respects. As in conventional SEM, knowledge of electron-specimen interactions is important for interpretation of image contrast in LVSEM [166]. 

E. Claridge, S. Cotton, P. Hall and M. Moncrieff, From colour to tissue histology Physics-based interpretation of images of pigmented skin lesions, Med. Image Analysis, 2003, 7, 489-502. 

---