Biomedical Engineering Reference
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A
B
y
14
12
10
8
6
4
2
x
2
4
6
8
10
12
14
C
z
Bone matrix microporosity
y
Osteocyte and lacuna
Osteocyte process and canaliculus
x
D
120
250
100
200
80
150
60
100
40
50
20
R 2 = 0.9845
0
0
20
30
40
50
60
70
80
age (years)
Figure 10.10. A stochastic network model (A, B, C) is built to represent the exact conformation and organization of the pericel-
lular network, including the cells and their processes, as well as matrix microporosity (A). (D) Based on published data [19, 20] of
osteocyte number (N) decline with age (diamonds), a profound concomitant decrease in tissue permeability (x's) is predicted using
stochastic network models. Adapted from Steck R, Knothe Tate ML (2005) In Silico Stochastic Netowork Models that Emulate the
Molecular Sieving Characteristics of Bone, Annals of BIomedical Engineering , 33(1): 87-94, used with permission from Springer.
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