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. Author manuscript; available in PMC: 2018 Jun 19.
Published in final edited form as: Curr Protoc Chem Biol. 2017 Jun 19;9(2):96–116. doi: 10.1002/cpch.19

Figure 4. Exemplar Jupyter notebook for the processing the data (protocol 2).

Figure 4

(A) Data outputted by Columbus are imported (protocol 2, step 1) in a pandas dataframe. Function input allows selection of the desired readouts and labels them with a standard name (e.g. cell_count). Data are then merged with the design (protocol 2, step 2).

(B) Different quality controls can be performed on the plate (protocol 2, step 3): bias across the plate can be quantified either by distance from the edge, row, or column; difference in the untreated controls can be quantified across plates to test for bias.