notebook.community

Testing the pipeline and seeing if results are accurate.

img -> nii -> csv -> plotly



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from clarityviz import claritybase
from clarityviz import densitygraph

c = claritybase(token, source_directory)

c.applyLocalEq()

c.loadGeneratedNii()

c.calculatePoints(0.9, 0.005)

c.savePoints()

c.generate_plotly_html()

plots

Fear199

confirmed plot: https://neurodatadesign.github.io/seelviz/reveal/html/Fear199localeq.html

clarityviz package plot: https://neurodatadesign.github.io/seelviz/reveal/html/clarityvizhtmls/Fear199plotly.html

Cocaine174

confirmed plot: https://neurodatadesign.github.io/seelviz/reveal/html/Cocaine174localeq.html

clarityviz package plot: https://neurodatadesign.github.io/seelviz/reveal/html/clarityvizhtmls/Cocaine174plotly.html

Control181

confirmed plot: https://neurodatadesign.github.io/seelviz/reveal/html/Control181localeq.html

clarityviz package plot: https://neurodatadesign.github.io/seelviz/reveal/html/clarityvizhtmls/Control181plotly.html

Density graphs



In [ ]:

    
from clarityviz import densitygraph

dg = densitygraph('Fear199')
dg.generate_density_graph()
dg.generate_heat_map()

Fear199

confirmed plot: https://neurodatadesign.github.io/seelviz/reveal/html/graphmlhtml/Fear199.graphml.html

clarityviz package plot: https://neurodatadesign.github.io/seelviz/reveal/html/clarityvizhtmls/Fear199_density.html



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