Code used for Seal H3N8 image analysis
Python
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.ipynb_checkpoints
Human
Negative
Seal
0. Functions Test.ipynb
1. Identify positive control threshold values.ipynb
100814 Lung Staining Quantification.csv
100814 Trachea Staining Quantification.csv
111313 Lung Staining Quantification.csv
111313 Trachea Staining Quantification.csv
2. Process lung images.ipynb
2. Process tracheal images.ipynb
3. Plot Data.ipynb
Image Quantification Data Normalized.pdf
Image Quantification Data.pdf
Normalized Data.xlsx
Red-Green Overlap Human Lung.csv
Red-Green Overlap Human Trachea.csv
Red-Green Overlap trachea.csv
Seal Image Analysis Normalized.pzf
Seal Image Analysis.pzf
overlap_test.png
parameter average threshold green channel Human Lung 111313 pre-otsu.txt
parameter average threshold green channel Human Lung 111313.txt
parameter average threshold green channel Human Trachea 100814 pre-otsu.txt
parameter average threshold green channel Human Trachea 100814.txt
parameter average threshold green channel Human Trachea 111313 pre-otsu.txt
parameter average threshold green channel Human Trachea 111313.txt
parameter average threshold red channel Human Lung 111313 pre-otsu.txt
parameter average threshold red channel Human Lung 111313.txt
parameter average threshold red channel Human Trachea 100814 pre-otsu.txt
parameter average threshold red channel Human Trachea 100814.txt
parameter average threshold red channel Human Trachea 111313 pre-otsu.txt
parameter average threshold red channel Human Trachea 111313.txt
parameters log Human Lung 100814.txt
parameters log Human Lung 111313.txt
parameters log Human Trachea 100814.txt
parameters log Human Trachea 111313.txt
rgprocessing.py
rgprocessing.pyc
tiffile.py
tiffile.pyc