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:
'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.
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
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?
representation is weighted to fit the sensitivity of the human eye. But we use
the numbers to compare images with each other numerically:
As a whole: we could immediately spot whether an image has been tampered with or
simply uses different dyes as with these stem cells below:
REGIONS OF INTEREST could be
compared: I’d like to automate our system to count blood and cancer cells and
to formulate the characteristics of cells within ‘normal’ and ‘exceptional’
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:
what is the range of numbers that represent light and colour as a
numerical pixel value?
how does the magnification of a
microscope influence this range of numbers?
are there reference images of colours
to compare imaging technologies?
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.
And here ‘attenuated’
different levels of contrast.
So the principles of comparison are:
1. Visual effects
in terms of
colour and contrast;
and objects above and below a ‘zero plane’;
2. Numerical inversions resulting in
of valleys and mountains
the colour of the ‘zero plane’;
3. Numerical comparisons resulting in contrasting the numerical ranges of
magnification as it relates to
given image produced by that technique.
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.
Have your say about what you just read on MicroscopeMaster! Leave me a comment in the box below.
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