2020
DOI: 10.1101/2020.07.02.184259
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A fast numerical method for oxygen supply in tissue with complex blood vessel network

Abstract: AbstractOxygen field evaluation is important in modeling and simulation of many important physiological processes of animals, such as angiogenesis. However, numerical simulation of the oxygen field in animal tissue is usually limited by the unusual coupling of different mechanisms, the nonlinearity of the model, and the complex geometry of refined blood vessel networks. In this work, a fast numerical method is designed for the simulation of oxygen supply in tissue with a large-… Show more

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Cited by 1 publication
(2 citation statements)
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“…Diffusion is used for transport only between the tissue and terminal branches of the transport networks, such as capillaries, hairy roots, and terminal leaf veins. A typical spacing between neighboring capillaries and between terminal leaf veins is of the order 100µm [44,66]. On this spacial scale, diffusion is sufficiently efficient for the time scale of living organisms.…”
Section: Necessity Of Biological Transport Networkmentioning
confidence: 99%
See 1 more Smart Citation
“…Diffusion is used for transport only between the tissue and terminal branches of the transport networks, such as capillaries, hairy roots, and terminal leaf veins. A typical spacing between neighboring capillaries and between terminal leaf veins is of the order 100µm [44,66]. On this spacial scale, diffusion is sufficiently efficient for the time scale of living organisms.…”
Section: Necessity Of Biological Transport Networkmentioning
confidence: 99%
“…Second, the adaptation of vessel segments plays an important role in angiogenesis and root development. However, it is still far from a clear picture on what stimuli help to maintain the stability of capillary networks while meeting the needs of the tissue, and efficient numerical methods are extremely important in simulations of such large scale systems [44]. Finally, new mathematical structures of biological transport networks may provide new insights and tools for applications in other fields, such as graph theory and matrix optimisation.…”
Section: Introductionmentioning
confidence: 99%