Microscopy image files for "First-principles prediction of the information processing capacity of a simple genetic circuit."

These data correspond to the raw microscopy images used to quantify fluorescence and compute gene expression distributions due to the activity of the Lac repressor molecule in E. coli cells. These images were passed through an image analysis pipeline which segmented individual cells and computed the...

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Hauptverfasser: Razo-Mejia, Manuel, Phillips, Rob, Marzen, Sarah, Taubman, Rachel, Morrison, Muir, Chure, Griffin
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creator Razo-Mejia, Manuel
Phillips, Rob
Marzen, Sarah
Taubman, Rachel
Morrison, Muir
Chure, Griffin
description These data correspond to the raw microscopy images used to quantify fluorescence and compute gene expression distributions due to the activity of the Lac repressor molecule in E. coli cells. These images were passed through an image analysis pipeline which segmented individual cells and computed the mean pixel value for each cell. These data are separated by the operator we examined. A single strain was measured in twelve different inducer concentrations for each dataset with a total of 9 different strains imaged among all datasets. Please see the main text or the paper website at https://www.rpgroup.caltech.edu/chann_cap/ for more information.
doi_str_mv 10.22002/d1.1184
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identifier DOI: 10.22002/d1.1184
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subjects gene regulation
information theory
physical biology
title Microscopy image files for "First-principles prediction of the information processing capacity of a simple genetic circuit."
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