Analysis: 20250610

!pip install nucleus-cdk==0.5.0rc2 | tail -n2
Requirement already satisfied: asttokens in /opt/homebrew/anaconda3/lib/python3.12/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter-bokeh<5.0.0,>=4.0.5->nucleus-cdk==0.5.0rc2) (2.0.5)
Requirement already satisfied: pure-eval in /opt/homebrew/anaconda3/lib/python3.12/site-packages (from stack-data->ipython>=6.1.0->ipywidgets==8.*->jupyter-bokeh<5.0.0,>=4.0.5->nucleus-cdk==0.5.0rc2) (0.2.2)
import matplotlib.pyplot as plt
from cdk.analysis.cytosol import platereader as pr
import warnings

warnings.filterwarnings('ignore')
pr.plot_setup()
data, platemap = pr.load_platereader_data("./data/20250610-161953-cytation5-pure-timecourse-gfp-ppk-controls-2-biotek-cdk.txt", "20250610-ppk-energy-solution-platemap.csv")
data
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g = pr.plot_curves(data, palette="colorblind")
g.savefig("plot1")
<Figure size 644.5x500 with 1 Axes>
s = pr.plot_steadystate(data, palette="colorblind")
plt.xlabel('Condition')
s.savefig("plot2")
<Figure size 600x400 with 1 Axes>
pr.plot_kinetics(data)
PROVIDING AVERAGED KINETICS
(<seaborn.axisgrid.FacetGrid at 0x146859e50>, Velocity \ Time Data Max Name Read ES + CP GFP-Gext 0 days 01:39:31.938945422 166833.99 161361.42 ES - CP GFP-Gext 0 days 02:18:43.416395225 836.54 241.09 PURE Positive GFP-Gext 0 days 01:15:16.816069328 725591.90 964744.54 Lag \ Time Data Name Read ES + CP GFP-Gext 0 days 00:36:03.955438422 19440.01 ES - CP GFP-Gext -1 days +22:43:56.496117396 379.35 PURE Positive GFP-Gext 0 days 00:30:10.731839295 73898.46 Steady State \ Time Data Name Read ES + CP GFP-Gext 0 days 03:12:58.126479814 316984.58 ES - CP GFP-Gext 0 days 07:34:55.791588130 1589.42 PURE Positive GFP-Gext 0 days 02:21:40.766012752 1378624.62 Fit \ params Name Read ES + CP GFP-Gext [333667.9829118206, 1.9067328438836142, 1.6588... ES - CP GFP-Gext [1673.0712098104584, 0.5679043393477711, 2.312... PURE Positive GFP-Gext [1451183.8070235197, 2.661025429537054, 1.2546... R^2 drift Name Read ES + CP GFP-Gext 1.00 7171.30 ES - CP GFP-Gext 0.97 -149.87 PURE Positive GFP-Gext 1.00 30037.30 )
<Figure size 1800x400 with 3 Axes>
pr.kinetic_analysis(data)
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