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The sample number and analyzed cells varied depending on the difficulty of each individual cell growth.
Tumors — breast cancer samples to start with — would first be sliced into extremely thin pieces, then those pieces would be imaged and analyzed, right down to each individual cell's genetic makeup.
The expression level of individual miRNA in each cell sample varied greatly.
The distribution of BCR-ABL transcript in progenitor cell compartment in each individual sample was heterogeneous according to the disease status.
Each dot represents the data for an individual B cell sample, n = 3-8.
The data were normalized to the level of GAPDH expression in each individual sample.
Recovery correction was done for each analyte in each individual sample.
This technique allows measurement of fluorescence in up to 107 individual cells in a single sample, with multiple samples run for a single experiment.
To link increased DNA-PKcs expression with the cellular burden of damaged DNA, TMs and DNA-PKcs transcript concentrations were compared in individual T-cell samples (Fig 3D).
Reactions were in triplicate for each individual sample.
However, in our analysis the sample size in the individual cell types is small, and as at least 25% of variation in an SNP is required, some of the interesting correlations might have been filtered out.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com