Automated scanning routines enable our instrument to map and measure mm2 areas at the click of a button.  Bespoke algorithms automate the data analysis and provide greater insight and understanding of the whole sample.

… At the nanoscale nothing is homogeneous.

NanoMapper software

Current sample analysis methods often assume a sample is homogeneous, whereby a singe measurement over a few microns is somehow representative of a whole surface, which is never the case.

Bristol Nano Dynamics NanoMapper software characterises thousands of frames of HS-AFM data and identifies the nanostructures of interest via advanced threshold methods and user defined filters to gather the true nature of your sample with statistical validity.

The software records the measurements of every nanostructure imaged in each frame of a dataset and plots a user defined quantity on a heatmap that can be overlaid ontop of an optical macro image of the sample. You want to see the spatial distribution of the mean nanopore diameter in a polymer sample over a 1×1 mm area? this can be achieved using the NanoMapper software.

The above example shown here took 18 minutes to collect the 1,089 frames using the Bristol Nano Dynamics high-speed AFM and a further 6 minutes to process the data. In under 25 minutes the system has mapped the spatial distribution of of pores in the polymer over a 1×1 mm area, with a 5 nm lateral resolution.

Gigapixel imaging at the nanoscale

Our high-speed AFM can create gigapixel sized images at the nanoscale by stitching images from a user defined area together to form a composite image with no drop in lateral resolution as the image area increases.

The example below shows a stitched composite image of a 60 x 30 micron area of a turbine blade the total height range is 20 nm and the data was collected with a 2 nm pixel size creating a 0.5 gigapixel image. 


  • Cullen, P et al., 2017, ‘Ionic solutions of two-dimensional materials’. Nature Chemistry, vol 9 (3), p 244
  • Miller, T et al., 2017, ‘Single crystal, luminescent carbon nitride nanosheets formed by spontaneous dissolution’. Nano Letters, vol 17 (10), p 5891