Forward Models of Light Transport in Biological Tissue

2016 ◽  
pp. 339-356 ◽  
Keyword(s):  
Biological Tissue ◽  
Light Transport ◽  
Forward Models

A new Monte Carlo code for light transport in biological tissue

2017 ◽  
Vol 56 (4) ◽  
pp. 649-655 ◽  
Author(s):  
Eugenio Torres-García ◽  
Rigoberto Oros-Pantoja ◽  
Liliana Aranda-Lara ◽  
Patricia Vieyra-Reyes
Keyword(s):  
Monte Carlo ◽  
Biological Tissue ◽  
Light Transport ◽  
Monte Carlo Code

scholarly journals ValoMC: a Monte Carlo software and MATLAB toolbox for simulating light transport in biological tissue

OSA Continuum ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 957 ◽  
Author(s):  
Aleksi A Leino ◽  
Aki Pulkkinen ◽  
Tanja Tarvainen
Keyword(s):  
Monte Carlo ◽  
Biological Tissue ◽  
Light Transport ◽  
Matlab Toolbox

Advances in Microprobe Analysis Applied to Muscle, Nerve and Gland

1982 ◽  
Vol 40 ◽  
pp. 404-407
Author(s):  
T. E. Hutchinson ◽  
D. E. Johnson ◽  
A. C. Lee ◽  
E. Y. Wang
Keyword(s):  
Biological Tissue ◽  
Microprobe Analysis ◽  
Physiological State ◽  
External Environment ◽  
Physiological Relevance ◽  
Muscle Nerve ◽  
Technique Development

Microprobe analysis of biological tissue is now in the end phase of transition from instrumental and technique development to applications pertinent to questions of physiological relevance. The promise,implicit in early investigative efforts, is being fulfilled to an extent much greater than many had predicted. It would thus seem appropriate to briefly report studies exemplifying this, ∿. In general, the distributions of ions in tissue in a preselected physiological state produced by variations in the external environment is of importance in elucidating the mechanisms of exchange and regulation of these ions.

Complementary Z-Contrast Imaging and Digital Image Processing

1985 ◽  
Vol 43 ◽  
pp. 304-305
Author(s):  
K. N. Colonna ◽  
G. Oliphant
Keyword(s):  
Image Processing ◽  
Heavy Metal ◽  
Digital Image Processing ◽  
Digital Image ◽  
Biological Tissue ◽  
Biological Imaging ◽  
Tissue Preparation ◽  
Contrast Imaging ◽  
Imaging Tool ◽  
Z Contrast

Harmonious use of Z-contrast imaging and digital image processing as an analytical imaging tool was developed and demonstrated in studying the elemental constitution of human and maturing rabbit spermatozoa. Due to its analog origin (Fig. 1), the Z-contrast image offers information unique to the science of biological imaging. Despite the information and distinct advantages it offers, the potential of Z-contrast imaging is extremely limited without the application of techniques of digital image processing. For the first time in biological imaging, this study demonstrates the tremendous potential involved in the complementary use of Z-contrast imaging and digital image processing.Imaging in the Z-contrast mode is powerful for three distinct reasons, the first of which involves tissue preparation. It affords biologists the opportunity to visualize biological tissue without the use of heavy metal fixatives and stains. For years biologists have used heavy metal components to compensate for the limited electron scattering properties of biological tissue.

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