Skip to Main Content
Modeling and Inverse Problems in the Presence of Uncertainty
book

Modeling and Inverse Problems in the Presence of Uncertainty

by H. T. Banks, Shuhua Hu, W. Clayton Thompson
April 2014
Intermediate to advanced content levelIntermediate to advanced
405 pages
13h
English
Chapman and Hall/CRC
Content preview from Modeling and Inverse Problems in the Presence of Uncertainty
88 Modeling and In verse Problems in the Presence of Uncertainty
0 0.5 1 1.5 2 2.5 3 3.5
0
0.5
1
1.5
2
2.5
3
3.5
x 10
5
Histogram Data, t =24 hrs
Log FI
Cell Counts
0 0.5 1 1.5 2 2.5 3 3.5
0
0.5
1
1.5
2
2.5
3
3.5
x 10
5
Histogram Data, t =48 hrs
Log FI
Cell Counts
0 0.5 1 1.5 2 2.5 3 3.5
0
0.5
1
1.5
2
2.5
3
3.5
x 10
5
Histogram Data, t =96 hrs
Log FI
Cell Counts
0 0.5 1 1.5 2 2.5 3 3.5
0
0.5
1
1.5
2
2.5
3
3.5
x 10
5
Histogram Data, t =120 hrs
Log FI
Cell Counts
FIGURE 3 .10: Typical histogr am data for a CFSE-based proliferation
assay showing cell co unt vs. log fluorescence intensity; originally from [3 0].
The ma thematical modeling problem is to de velop a system of equations
which accounts for the ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Nonlinear Inverse Problems in Imaging

Nonlinear Inverse Problems in Imaging

Jin Keun Seo, Eung Je Woo
Multimodal Scene Understanding

Multimodal Scene Understanding

Michael Ying Yang, Bodo Rosenhahn, Vittorio Murino

Publisher Resources

ISBN: 9781482206432