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To validate our flow cytometry based method, we took replicate samples from macrophage infections with the same GFP-expressing strain and compared proliferation quantification by flow cytometry, CFU and haemocytometer count.
In order to assess the accuracy of citation indices computed from the estimate PCRs generated by our method, we took our method's PCR estimates and computed h- and e-indices for each one.
In the first method, we took one hemispherical photograph at a position just beneath the canopy layer.
For each method, we took the top- k triplets, and the precision is defined as the proportion of true interactions in all interactions in top- k triplets.
To demonstrate the biological applicability of our method, we took the literature-proven functional TF-gene binding pair (Leu3p, BAP2) as an example.
In the second method, we took a subset of the data consisting of one FLIM image per dye ratio (i.e. six images) and used global double-exponential fitting to analyse all of the pixels in the data sets simultaneously.
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In our method, we take advantage of these patterns in the representation and selection of patches.
To demonstrate the effectiveness of this method, we take the driver fatigue detection as an example.
In the second method, we take the change in viewpoint focus, analogous to a window-sliding approach.
In the proposed method, we take Gabor as the basic feature and SURF as the minor feature.
In order to illustrate the concrete application of the catastrophe method, we take sample 1 as an example.
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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