scholarly journals Numerical Modelling of Light Propagation for Development of Capillary Electrophoretic and Photochemical Detection Systems

10.5772/45764 ◽  
2012 ◽  
Author(s):  
Tomasz Piasecki ◽  
Aymen Ben ◽  
Brett Paull ◽  
Mirek Macka ◽  
Dermot Brabazo
Keyword(s):  
Numerical Modelling ◽  
Light Propagation ◽  
Detection Systems ◽  
Capillary Electrophoretic

scholarly journals Efficient numerical modelling of time-domain light propagation in curved 3D absorbing and scattering media with finite differences

2021 ◽  
Vol 12 (3) ◽  
pp. 1422
Author(s):  
Anthony Allali ◽  
Alexander D. Klose ◽  
Yves Bérubé-Lauzière
Keyword(s):  
Numerical Modelling ◽  
Time Domain ◽  
Finite Differences ◽  
Light Propagation ◽  
Scattering Media

scholarly journals Numerical modelling and image reconstruction in diffuse optical tomography

2009 ◽  
Vol 367 (1900) ◽  
pp. 3073-3093 ◽  
Author(s):  
Hamid Dehghani ◽  
Subhadra Srinivasan ◽  
Brian W. Pogue ◽  
Adam Gibson
Keyword(s):  
Image Reconstruction ◽  
Numerical Modelling ◽  
Spatial Resolution ◽  
Light Propagation ◽  
Light Transmission ◽  
Imaging Modality ◽  
Optical Tomography ◽  
Diffuse Optical Tomography ◽  
Optical Parameters ◽  
Model Based

The development of diffuse optical tomography as a functional imaging modality has relied largely on the use of model-based image reconstruction. The recovery of optical parameters from boundary measurements of light propagation within tissue is inherently a difficult one, because the problem is nonlinear, ill-posed and ill-conditioned. Additionally, although the measured near-infrared signals of light transmission through tissue provide high imaging contrast, the reconstructed images suffer from poor spatial resolution due to the diffuse propagation of light in biological tissue. The application of model-based image reconstruction is reviewed in this paper, together with a numerical modelling approach to light propagation in tissue as well as generalized image reconstruction using boundary data. A comprehensive review and details of the basis for using spatial and structural prior information are also discussed, whereby the use of spectral and dual-modality systems can improve contrast and spatial resolution.

The Potentials of Scanning Microscopy

1968 ◽  
Vol 26 ◽  
pp. 352-353
Author(s):  
A. V. Crewe
Keyword(s):  
Salient Feature ◽  
Secondary Emission ◽  
Resolving Power ◽  
X Rays ◽  
Scanning Microscope ◽  
Forming Process ◽  
Additional Tool ◽  
Detection Systems ◽  
Conventional Microscope ◽  
Present Information

If the resolving power of a scanning electron microscope can be improved until it is comparable to that of a conventional microscope, it would serve as a valuable additional tool in many investigations.The salient feature of scanning microscopes is that the image-forming process takes place before the electrons strike the specimen. This means that several different detection systems can be employed in order to present information about the specimen. In our own particular work we have concentrated on the use of energy loss information in the beam which is transmitted through the specimen, but there are also numerous other possibilities (such as secondary emission, generation of X-rays, and cathode luminescence).Another difference between the pictures one would obtain from the scanning microscope and those obtained from a conventional microscope is that the diffraction phenomena are totally different. The only diffraction phenomena which would be seen in the scanning microscope are those which exist in the beam itself, and not those produced by the specimen.

Universal ESEM

1993 ◽  
Vol 51 ◽  
pp. 786-787
Author(s):  
G.D. Danilatos
Keyword(s):  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
High Vacuum ◽  
Natural Extension ◽  
Necessary Condition ◽  
Environmental Scanning ◽  
Detection Systems ◽  
Small Gain ◽  
Detection Medium ◽  
Scanning Electron

The environmental scanning electron microscope (ESEM) has evolved as the natural extension of the scanning electron microscope (SEM), both historically and technologically. ESEM allows the introduction of a gaseous environment in the specimen chamber, whereas SEM operates in vacuum. One of the detection systems in ESEM, namely, the gaseous detection device (GDD) is based on the presence of gas as a detection medium. This might be interpreted as a necessary condition for the ESEM to remain operational and, hence, one might have to change instruments for operation at low or high vacuum. Initially, we may maintain the presence of a conventional secondary electron (E-T) detector in a "stand-by" position to switch on when the vacuum becomes satisfactory for its operation. However, the "rough" or "low vacuum" range of pressure may still be considered as inaccessible by both the GDD and the E-T detector, because the former has presumably very small gain and the latter still breaks down.

Designing distributed detection systems

1993 ◽  
Vol 140 (3) ◽  
pp. 191 ◽  
Author(s):  
R. Srinivasan
Keyword(s):  
Distributed Detection ◽  
Detection Systems

The Use of Array Processors for Numerical Modelling of Tidal Estuary Dynamics

1980 ◽  
Author(s):  
D. Prandle ◽  
E.R. Funke ◽  
N.L. Crookshank ◽  
R. Renner
Keyword(s):  
Numerical Modelling ◽  
Tidal Estuary ◽  
Array Processors
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