On the calibration of a size-structured population model from experimental data

Acta Biotheoretica 58 (4):405-413 (2010)
The aim of this work is twofold. First, we survey the techniques developed in Perthame and Zubelli (Inverse Probl 23(3):1037–1052, 2007 ), Doumic et al. (Inverse Probl 25, 2009 ) to reconstruct the division (birth) rate from the cell volume distribution data in certain structured population structured population models. Secondly, we implement such techniques on experimental cell volume distributions available in the literature so as to validate the theoretical and numerical results. As a proof of concept, we use the experimental data experimental data reported in the classical work of Kubitschek (Biophys J 9(6):792–809, 1969 ) concerning Escherichia coli in vitro experiments measured by means of a Coulter transducer-multichannel analyzer system (Coulter Electronics, Inc., Hialeah, FL, USA). Despite the rather old measurement technology, the reconstructed division rates still display potentially useful biological features
Keywords Philosophy   Evolutionary Biology   Philosophy of Biology
Categories (categorize this paper)
DOI 10.1007/s10441-010-9114-9
 Save to my reading list
Follow the author(s)
Edit this record
My bibliography
Export citation
Find it on Scholar
Mark as duplicate
Request removal from index
Revision history
Download options
Our Archive

Upload a copy of this paper     Check publisher's policy     Papers currently archived: 29,848
Through your library
References found in this work BETA

No references found.

Add more references

Citations of this work BETA

No citations found.

Add more citations

Similar books and articles
Calibration of Laboratory Models in Population Genetics.Robert A. Skipper - 2004 - Perspectives on Science 12 (4):369-393.
Using Experimental Data and Analysis in EEG Modelling.Donald L. Rowe & James Wright - 2001 - Behavioral and Brain Sciences 24 (5):828-829.
A Survey of Structured Cell Population Dynamics.Ovide Arino - 1995 - Acta Biotheoretica 43 (1-2):3-25.
Added to PP index

Total downloads
33 ( #170,095 of 2,210,503 )

Recent downloads (6 months)
1 ( #387,753 of 2,210,503 )

How can I increase my downloads?

Monthly downloads
My notes
Sign in to use this feature