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19th Dec 2023: Comparing different masking methods

Murray Cutforth edited this page Dec 19, 2023 · 1 revision

Automatically finding a mask/ROI of the wells is key to subsequently computing parameters like Fv/Fm. In this page a couple of different masking approaches are compared.

1. Methods

  • All methods are based on a thresholding approach
  • We vary a parameter called num_std, where the threshold is set as the mean of a blank well + some multiple of the standard deviation of the intensities in the blank well: mu + num_std * sigma
  • We experiment with morphological opening, to smooth the mask and remove noise
  • In order to compare a well image (with many time points) to a single threshold value, we experiment with using the pixel-wise mean and minimum

2. Results

The following plots show metrics related to the masks, where the x-axis is the plate (arbitrary order).

Mean reduction, no opening: Threshold_MeanReduction_NoOpening

Min reduction, no opening: Threshold_MinReduction_NoOpening

Min reduction, with opening: Threshold_MeanReduction_Opening

3. Conclusions

  • The default value (min reduction, sigma=3) found already looks fairly optimal to me
  • Average Fv/Fm values are fairly insensitive to this, which is good

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