TY - GEN
T1 - A numerical evaluation of state reconstruction methods for heterogeneous cell populations
AU - Waldherr, Steffen
AU - Frysch, Robert
AU - Pfeiffer, Tim
AU - Jakuszeit, Theresa
AU - Zeng, Shen
AU - Rose, Georg
N1 - Publisher Copyright:
© 2015 EUCA.
PY - 2015/11/16
Y1 - 2015/11/16
N2 - Heterogeneity among cells is a common characteristic of living systems. For mathematical modeling of heterogeneous cell populations, one typically has to reconstruct the underlying heterogeneity from measurements on the population level. Based on recent insights into the mathematical nature of this problem as an inverse problem of tomographic type, we evaluate numerical methods to perform such a reconstruction in basic case studies. We compare a kernel density based optimization approach, filtered back projection, and algebraic reconstruction techniques. The latter two are well established methods in computed tomography.
AB - Heterogeneity among cells is a common characteristic of living systems. For mathematical modeling of heterogeneous cell populations, one typically has to reconstruct the underlying heterogeneity from measurements on the population level. Based on recent insights into the mathematical nature of this problem as an inverse problem of tomographic type, we evaluate numerical methods to perform such a reconstruction in basic case studies. We compare a kernel density based optimization approach, filtered back projection, and algebraic reconstruction techniques. The latter two are well established methods in computed tomography.
UR - http://www.scopus.com/inward/record.url?scp=84963878460&partnerID=8YFLogxK
U2 - 10.1109/ECC.2015.7330982
DO - 10.1109/ECC.2015.7330982
M3 - Conference contribution
AN - SCOPUS:84963878460
T3 - 2015 European Control Conference, ECC 2015
SP - 2926
EP - 2931
BT - 2015 European Control Conference, ECC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - European Control Conference, ECC 2015
Y2 - 15 July 2015 through 17 July 2015
ER -