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Utilizing antibodies against human tryptase and chymase and a double immunohistochemical staining method, we distinguished successfully all three subsets of mast cells (MC), MC-TC (containing both tryptase and chymase), MC-T (containing only tryptase) and MC-C (containing only chymase) types, subdivided on the basis of the protease compositions of their secretory granules.
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Moreover, with this 23-gene signature based ER classification method we have distinguished a subset of IHC ER positive breast cancer patients that have a poorer outcome following endocrine therapy that may be attributable to false positive classification of ER status by current histopathological methods.
Using this method, we successfully distinguish the three regimes.
First, in our new method we can distinguish between A × E and A × C (although large samples or large effect sizes are needed to detect A × C).
To better conceptualize and operationalize the various elements of our mixed methods impact evaluation design, we distinguished the overall work in three study components.
The high-resolution SNP-typing and phylogenetic methods we used distinguished very closely related isolates to a degree not achievable by widely employed subgenomic typing tools.
By multi-parametric digital flow cytometry analysis, combined with a stringent gating algorithm (see the Materials and methods section for further details), we distinguished the viable singlet T cells from B/T-cell conjugates and determined their GFP content.
We distinguished two methods of releasing a 'basic tool', by scoring the place where the subject gripped the plant material (root shaft, hook shaft, tool shaft, or joint; Fig. 1e) and the place of subsequent detachment (Fig. 1f): if these were identical, the behavioural action was considered a 'cut', and otherwise a 'pull' (Fig. 1g).
Also similar to many experimental methods, we avoid distinguishing gain-of-function from loss-of-function variants, as these outcomes are often subjective.
As intensity around 3 units above the background is easily detected under our imaging conditions ('Materials and methods'), we can distinguish huDysGFP in a cytoplasmic voxel (a three dimensional pixel of 0.024 µm) down to a number per voxel around 60 times lower than in the brightest fibre tip voxel (avoiding saturation of the detector by setting it to under 255 on 8-bit grayscale).
With this method we could not distinguish between subspecies (wolf from dog, and pig from wild boar).
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