Visual pursuit of one’s own face in disorders of consciousness: a quantitative analysis

Brain Injury ◽  
2018 ◽  
Vol 32 (12) ◽  
pp. 1549-1555 ◽  
Author(s):  
Luigi Trojano ◽  
Pasquale Moretta ◽  
Orsola Masotta ◽  
Vincenzo Loreto ◽  
Anna Estraneo
Author(s):  
Berno U. H. Overbeek ◽  
Jan C. M. Lavrijsen ◽  
Simon van Gaal ◽  
Daniel Kondziella ◽  
Henk J. Eilander ◽  
...  

2012 ◽  
Vol 260 (1) ◽  
pp. 306-308 ◽  
Author(s):  
L. Trojano ◽  
P. Moretta ◽  
V. Loreto ◽  
L. Santoro ◽  
A. Estraneo

2013 ◽  
Vol 124 (11) ◽  
pp. e211
Author(s):  
A. Estraneo ◽  
P. Moretta ◽  
L. Trojano ◽  
V. Loreto ◽  
L. Santoro

BMC Neurology ◽  
2017 ◽  
Vol 17 (1) ◽  
Author(s):  
Damian Cruse ◽  
Marco Fattizzo ◽  
Adrian M. Owen ◽  
Davinia Fernández-Espejo

2017 ◽  
Vol 264 (5) ◽  
pp. 928-937 ◽  
Author(s):  
Sarah Wannez ◽  
Thomas Hoyoux ◽  
Thomas Langohr ◽  
Olivier Bodart ◽  
Charlotte Martial ◽  
...  

Author(s):  
J.P. Fallon ◽  
P.J. Gregory ◽  
C.J. Taylor

Quantitative image analysis systems have been used for several years in research and quality control applications in various fields including metallurgy and medicine. The technique has been applied as an extension of subjective microscopy to problems requiring quantitative results and which are amenable to automatic methods of interpretation.Feature extraction. In the most general sense, a feature can be defined as a portion of the image which differs in some consistent way from the background. A feature may be characterized by the density difference between itself and the background, by an edge gradient, or by the spatial frequency content (texture) within its boundaries. The task of feature extraction includes recognition of features and encoding of the associated information for quantitative analysis.Quantitative Analysis. Quantitative analysis is the determination of one or more physical measurements of each feature. These measurements may be straightforward ones such as area, length, or perimeter, or more complex stereological measurements such as convex perimeter or Feret's diameter.


Author(s):  
V. V. Damiano ◽  
R. P. Daniele ◽  
H. T. Tucker ◽  
J. H. Dauber

An important example of intracellular particles is encountered in silicosis where alveolar macrophages ingest inspired silica particles. The quantitation of the silica uptake by these cells may be a potentially useful method for monitoring silica exposure. Accurate quantitative analysis of ingested silica by phagocytic cells is difficult because the particles are frequently small, irregularly shaped and cannot be visualized within the cells. Semiquantitative methods which make use of particles of known size, shape and composition as calibration standards may be the most direct and simplest approach to undertake. The present paper describes an empirical method in which glass microspheres were used as a model to show how the ratio of the silicon Kα peak X-ray intensity from the microspheres to that of a bulk sample of the same composition correlated to the mass of the microsphere contained within the cell. Irregular shaped silica particles were also analyzed and a calibration curve was generated from these data.


Author(s):  
H.J. Dudek

The chemical inhomogenities in modern materials such as fibers, phases and inclusions, often have diameters in the region of one micrometer. Using electron microbeam analysis for the determination of the element concentrations one has to know the smallest possible diameter of such regions for a given accuracy of the quantitative analysis.In th is paper the correction procedure for the quantitative electron microbeam analysis is extended to a spacial problem to determine the smallest possible measurements of a cylindrical particle P of high D (depth resolution) and diameter L (lateral resolution) embeded in a matrix M and which has to be analysed quantitative with the accuracy q. The mathematical accounts lead to the following form of the characteristic x-ray intens ity of the element i of a particle P embeded in the matrix M in relation to the intensity of a standard S


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