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However, even when both runs give the same output, the final points of the trace (or/and the initial) can be wrongly matched as seen in Fig. 9, so GEMMA is run for the first and last few points (about 5) of the trace just to confirm that the output given by Marchal's is correct.
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While the PBAS approach is faster than Euclidean distance computation, a downside with this approach is that a foreground pixel can be wrongly classified as background if it finds enough matches in any one of the channels.
Points P3 and P4 are topological wrongly matched.
Such regions would be wrongly identified as unreliable disparity.
For instance, objects such as furniture might be wrongly detected as foreground, reconstructed and tracked.
This aspect should not be wrongly analysed as residual tumour [14].
Indeed, the latter could be wrongly classified as having zero children by the ages of 30/35.
Thus, two strains may be wrongly identified as different.
In mitotic cells, movement of fluorescent objects could be wrongly interpreted as a recovery of fluorescence.
A mature fish that skips a spawning season might be wrongly classified as a juvenile.
Conversely, such direct descendants of reassortant strains may be wrongly selected as reassortants themselves.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com