hci-unihd / antibodies-analysis-issues

Issue tracker for problems in the antibodies analysis workflow.
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Missed infected cell - PlateK19rep1_20200506_095722_264 - A01-0004 #69

Open tischi opened 4 years ago

tischi commented 4 years ago

{"plateName":"PlateK19rep1_20200506_095722_264","siteName":"A01-0004","pixelLocation":[1793.0054504318803,1215.5873244399177,0.0],"analysisVersion":"0ca4addd462c63ffb354d6c6f59814d309dd2127"}

@imagirom

I implemented the cell feature inspection.

This cell for example as a very high top30 value of 21487, but is not marked as infected.

Screenshot

constantinpape commented 4 years ago

@tischi Have you checked if this cell was marked as an outlier?

tischi commented 4 years ago

But in fact it was an outlier:

Cell 395; Table /tables/cell_segmentation_serum_IgA/serum_IgA_outliers; Feature is_outlier; Value 1

So that seems a big part of the issues/ confusions...

constantinpape commented 4 years ago

Can you also post the outlier_type?

tischi commented 4 years ago

Sure:

Cell 395; Table /tables/cell_segmentation_serum_IgA/serum_IgA_outliers; Feature outlier_type; Value too_large
constantinpape commented 4 years ago

Ok, that's what I thought. The upper size threshold of 10.000 pixels is too conservative. In any case, I think I will just deactivate most of this for the next run, and then we should determine the values from looking at the distribution over all the cells, not just from spot checking.

tischi commented 4 years ago

Same for IgG:

Cell 395; Table /tables/cell_segmentation_serum_IgG/serum_IgG_outliers; Feature outlier_type; Value too_large
constantinpape commented 4 years ago

Yes, in fact IgA / IgGuse the same segmentation (too_large` means too many pixels in the cell)

tischi commented 4 years ago

I think I will just deactivate most of this for the next run

Yes, I think there should not be too many outlier cells in general, and since we do everything median-based the cell QC seems to be currently doing more harm than good.