Written by Sabine K McNeill at www.3d-metrics.me
Email: [email protected]
It is always fascinating to see something we haven’t seen before. It is often mind blowing to see so much more detail that microscopes reveal. And now it is truly ‘eye opening’ when we re-visualise images, including those produced by microscopes, in True Colour 3D. This is a new kind of 3D with visual and numerical characteristics that have metric implications.
The eye opening takes place when we tilt the Mona Lisa painting or the colourful OKI elephant:
Mona Lisa re-visualised as
movable object in True Colour 3D – first horizontal,
From the home page of www.oki.com to 'Set your Imaginations Free':http://www.oki.com/eu/printing/index.html
'Numerically inverted' where Black becomes White and White becomes Black
Microscopy is most important for investigating cells and MicroscopeMaster publishes a short history of cell theory as the foundation for biological sciences, where cells are the fundamental unit.
When our software re-visualises digital images produced by microscopes, our fundamental unit is the number that the technology of light and colour creates. We confirm Pythagoras’: all things are number.
by our Smart Knowledge Engine on http://www.smart-knowledge-portals.uk/projects/325
As students we may be satisfied with just seeing new aspects. As teachers we may want to suggest systematic research into comparisons that can now be carried out thanks to visualising Digital Colour Brightness – the numerical representation of what the image shows: stem or blood cells, organic or anorganic materials relating to biology, chemistry or physics.
How to Become a Microscopist is described on www.study.com
This article is an invitation to contribute to knowing more by seeing more – and by using visual and numerical comparisons to describe what we’re seeing, observing and concluding.
Green Algae in Brightfield Microscopy
Re-Visualized in True Colour 3D http://www.smart-knowledge-portals.uk/projects/326
Re-Visualized with 'numerical inversion' with green as 'mountains' rather than 'valleys' as on the left
I am a mathematician and former software diagnostician at CERN, the European Centre for Nuclear Research in Geneva where the web was born, working with a highly experienced developer. We are treating images as matrices of numbers.
However, every imaging technique and every microscopy imaging technology, has its own way of translating the physics of light and colour into the digits that represent the biology of cells, the chemistry of elements or whatever we study under a microscope. Maybe our own blood or skin?
The numerical representation is weighted to fit the sensitivity of the human eye. But we use the numbers to compare images with each other numerically:
Healthy blood cells on http://www.smart-knowledge-portals.uk/projects/201
Bowel cancer cells on http://www.smart-knowledge-portals.uk/projects/198
These are all user controls so that we can tell ‘image stories’ by shining the best possible lights at images as a whole and their parts.
First we had images telling us more than 1,000 words. Now we have their re-visualisations in True Colour 3D that give us opportunities for analysis and metrics and thus insights and intelligence, if we have eyes to see. Many analysts like to use data to fit their models.
But when you see what is there without bias and expectation and when you begin to interpret what you see and try to make sense of it, then you will gain insights. Then you will understand what the data is telling you.
You will gain the intelligence with which to interpret what you see, for you understand how the records of a data base form a whole picture or the columns and rows of an image become an object in True Colour 3D.
The challenge that I’d like to investigate is the quality of imaging and microscopic techniques:
Recently I wrote an article for Image Reports and discovered the International Colour Consortium in the process. Our Smart Knowledge Space offers room for ‘crowd research’ if you are intrigued!
Digital Colour Brightness is the numerical representation of images that we show in our re-visualisations. As we progress, we will discover how to make best use of this ‘visual indicator’ to compare images and the technologies that produced them.
To compare microscope technologies, we obviously need to put the same ‘specimens’ under the various microscopes.
Of the techniques that MicroscopeMaster describes, I am mentioning here only those where sample images are also published as I re-visualised them for this article:
A Phase Contrast Microscope is used to measure
fibroblasts with a hemocytometer
with more depth of structure.
Re-Visualised on http://www.smart-knowledge-portals.uk/projects/329
Re-Visualised on http://www.smart-knowledge-portals.uk/projects?id=330
And here ‘attenuated’
different levels of contrast.
So the principles of comparison are:
1. Visual effects in terms of
2. Numerical inversions resulting in
3. Numerical comparisons resulting in contrasting the numerical ranges of
It is hoped that new references and standards will be developed as a result of online collaborations between enthusiastic microscopists who not only appreciate MicroscopeMaster but also the marvels that microscopes reveal.
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