Nanosurfaces 2017

Nanoscale in ‘True Colour 3D’

An Innovative Software Platform offers New Research Potential for Nanoscience

Paper does not convey the visual impact created on screen by the ‘dramatic’ structure that emerges from the 3D re-visualisation of a 2D image. When we begin to move this re-visualisation in space and look at it even from the back, we begin to imagine what new research avenues open before our eyes.

Brownian Motion [Nanosight[1]] 3D Graphene
[Rice University via Dr Martin Kemp’s
Xcience Newsletter[2]]
Conventional and Special Dishes from NanoSurface[3]

Re-Visualisations in ‘True Colour 3D’ on[4]

The above examples illustrate how any image can be shown such that more depth, detail and structure are revealed – with options for changing not only position, but also light and colour effects, besides zooming in and out.

The technique that make this literal ‘eye opener’ possible is the visualisation of ‘Digital Colour Brightness’. Digitally, light and colour values make up every image, no matter what technology is used.

However, every imaging technology has its own method of turning light and colour into digits. To develop references and standards at nanoscale, it is therefore important to create a group of experts to find the best technology for the best application at a given scale.

Reference images for reference technologies are an initial requirement to eventually determine ‘reference qualities’. This presentation will hopefully be the beginning for such a group.

To summarise, we are using Colour and Brightness to enhance digital images and deliver new perspectives in measurement and analysis

For the purpose of clarification:


‘Digital Colour Brightness’ is the ‘fundamental measuring unit’ that we visualise with our ‘Smart Knowledge Engine’.

Digital Colour Brightness’ is the result of

  • the digitisation process of the imaging technology plus
  • the innovative numerical representation of matrices on screen and
  • the creative usage of the Graphical Processing Unit [GPU] in modern computers.

Input DATA

Our ‘Smart Knowledge Engine’ accepts as input data any image produced by any imaging technology. This includes stills taken from videos.

  • Given enough computer power, this could be handled real time in high throughput processes to control quality and to monitor productions.


Re-visualisations as ‘movable objects in virtual 3D’ are the visual output for close investigation by ‘domain experts’.

  • They determine upper and lower boundary values for ‘Digital Colour Brightness’ in ‘regions of interest’.
  • To monitor automated processes, exceptional off-limit events would be flagged up.


Due to the generic nature of the software and its independence of scale, the advantages lie in the creation of an ‘online instrument’ for

  • non-destructive measuring, testing and monitoring;
  • the visual and metric analysis of biological, chemical and physical processes over time and
  • the use of ‘Digital Colour Brightness’ as a ‘visual and metric common denominator’:
    • it unites the physics of meter and kilogram in space with measuring movement and change over time.





© Copyright Sabine K McNeill 2017