Methodology article
Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays
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* Corresponding author: John L Hartman jhartman@uab.edu
- † Equal contributors
1 Department of Computer and Information Sciences, University of Alabama at Birmingham, Alabama, 35294, USA
2 Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, 98109, USA
3 Department of Genetics, University of Alabama School of Medicine, Birmingham, Alabama, 35294, USA
BMC Systems Biology 2007, 1:3 doi:10.1186/1752-0509-1-3
Published: 8 January 2007Additional files
Additional file 1:
Licensing information and user instructions with screenshots of the user interface are described.
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Additional file 2:
Correlation between image intensities and biomass of spotted cultures. This file contains the initial dilution of each spot, the spot intensity after 23 hrs, median cell volume, total cell volume, and total cell number measurements for each culture spot, as described in Figure 2.
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Additional file 3:
Area normalization of spot intensities. This file contains averaged, normalized and non-normalized spot intensity data from each set of 96 cultures. Arrays made with 2 μL and 4 μL spots from the same liquid culture were compared, as described in Figure 4.
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Additional file 4:
Cell Proliferation Phenotypes – precision of different growth models. This file contains the data used to calculate median values and percent standard deviation for Cell Proliferation Phenotypes calculated by different growth models using raw and normalized spot intensity values (See Tables 1 and 2).
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Additional file 5:
Robustness of growth models against data removal. Beginning with data in 4, time points were randomly removed, and MSR was recalculated using each growth model (Fig. 8). This file contains the actual time points and average and standard deviation of MSR of all 96 spots.
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