The phrase "a slight sample" is correct and usable in written English.
It can be used when referring to a small or limited example of something, often in contexts like research or testing.
Example: "In our study, we collected a slight sample of responses to gauge public opinion on the new policy."
Alternatives: "a small sample" or "a limited sample".
Note, that there is a slight sample drift, which causes cpVenus173 emission increases in (A ).
Examination of the imaging data showed, that the increase of acceptor emission in the guard cell analyses in Figure 3A-C was caused by a slight sample drift.
We have added text to the figure caption noting that a slight sample drift contributed to fluorescence signals in Figure 3A.
Long-range intrachain contacts between stretches between residues 100 and 180 as well as a slight sampling of the more central regions of OPN by the two termini are depicted.
Notably, positive elastase staining and cellular infiltration were observed within the bulk cAAPEG hydrogel, made more evident with slight sample separation that occurred as an artifact of processing.
A comparison of the sex and age characteristics of the study participants and census data from the target population indicates that the former are broadly representative of the latter, except for a slight over sampling of females in urban areas [ 26].
The results show that an increase of skewness coefficient (α3) results in a slight decrease for sample size (n) while an increase of kurtosis coefficient (α4) leads to a wider control limit width.
It was also observed that the size of the sample units has a slight effect on the sampling efficiency.
Again, no significant relationship was seen when IHHNV is predominant in respect to IHHNV and IMNV co-infected shrimp, although there was a slight increase in samples with the presence of IHHNV alone.
Thus, this result could mean that there is a slight bias towards sampling of this flora by urine.
A slight majority of samples were from hospital inpatients (256, 55.4%) with LSF residents accounting for 26.2% (n = 67) of the hospital inpatients.
