The phrase "allows us to visualise" is correct and usable in written English.
It can be used when discussing the ability to create a mental image or representation of something, often in the context of explaining concepts or data.
Example: "The diagram allows us to visualise the complex relationships between the different variables in the study."
Alternatives: "enables us to see" or "helps us to picture".
On the other hand, X-ray CT system allows us to visualise and measure complete 3-D object structures without sample preparation, and X-ray CT image can be sliced in any sections and reveal sedimentary and post sedimentation structures and materials that cannot be seen on the split core surface.
This modelling allows us to visualise the average patient and individual patients.
This system allows us to visualise both spindle assembly and the dynamics of Eg5.
Spatial representation allows us to visualise the impact of human household distribution on the density of both pet dogs and pet cats on the island of Ireland.
This allows us to visualise the total probability of death and see how it is broken down by the different causes.
We devised a PCR that distinguishes the two alleles (see the Materials and methods) and allows us to visualise which allele is present in different rodent strains and species (Fig. 3).
Even though the content analysis on the webpages was carried out manually use of the software tool allowed us to visualise the data in a more meaningful way through the model, enabling comparatives to be drawn and a fuller appreciation to emerge of the current situation in UK and USA HEIs.
Heat maps showing demand – the darker the colour, the greater the demand – have allowed us to visualise regional patterns of need.
Isoperms are a useful tool to compare the preservation outcomes achievable in different environments, however, they do not allow us to visualise the expected remaining time an object might have until it becomes unfit.
To show more clearly how the number of records varies through the water column, regardless of bottom depth, we re-calibrated the sample depth x bottom depth matrix so that each column summed to 1, allowing us to visualise separately for each bottom depth the proportion of records occurring at each sample depth.
