Category Archives: Image Analysis

Proxima B in new Digital Light and Perspective: ‘visual and metric 3D’ @ESO

17-02-15-proxima-bThis still was taken from this video produced by the European Space Observatory ESO about Proxima B, the closest planet likely to be habitable.

By feeding it into our Smart Knowledge Engine it shows a new ‘landscape’ in ‘visual and metric 3D’:









But the real magic happens on screen when you start moving that ‘landscape’ around to look at its peaks and valleys:

I THINK – aided by software – therefore I AM: Mathematical Woman, here I come!

Scottsdale Coral Reef project

Scottsdale Coral Reef project (Photo credit: crochetgal)

It may sound terribly presumptuous, especially for the English culture, when I write: Mathematical Woman, here I come. But I am old enough to wear a Purple Hat with pride and am just reading God, Physics and the Gender War.

The author Margaret Wertheim writes beautifully about science and the problems that it hasn’t solved yet – also in this TED discussion. And she writes about the Ascent of Mathematical Woman, besides all the reasons why women haven’t had equal chances yet. At the last event on Intelligent Imaging we were 64 participants and 4 women.

Her chapter on Rene Descartes who is famous for “I think, therefore I am“, reminded me of what I always claim: by practising ‘software-aided thinking’, I re-visited mathematics through the eyes of a mature programmer and came up not only with incredible insights, but also prototype software that produces unique screenshots by demonstrating three innovative software methods.

If men can be humble enough to express their admiration, I get a bit of positive body language. The professor who said “This is the most important work since relativity theory, because it’s about understanding number” claimed later I was mis-quoting him.

So I keep trying to find potential clients, collaborators and partners with whom to build smart knowledge portals without explaining the mathematics behind them.

Let the software drive the minds of its users
as an engine moves the car of its drivers:
without knowing how it works.

But humans want to know how things work around them:
the light that wakes them
the dark that puts them to sleep
the strong that holds them together
and the weak that lets things fall apart…

May Mathematical and Data Women repair
what has fallen apart in the past!

FROM Conceptual Heaven to Analytical Hell and back: on the Specifications for Identifying and Counting Cancer Cells

English: Map of the CERN accelerator complex

English: Map of the CERN accelerator complex (Photo credit: Wikipedia)

It is a strange phenomenon, this process called thinking. Especially when it’s aided by software:
for it requires the rigour of Zen, combined with the freedom of right brain associations.

I know very well when I’m in conceptual heaven. I know it makes me happy to abstract, generalise and think up the right names for the right ideas.

And I know that I need to dive into analytical hell. For the devil is in the detail.
But splitting hairs, separating powers and issues has happened too much in the Western world.
Everything has been taken apart. Not enough has been put together again.
What I’d like to put together is the smartness of human perception
with the cleverness of computer processing or number crunching.

For when celebrating 50 years of computing @ CERN, I was introduced to Citizens CyberScience and
One of the projects is – the invitation for volunteers to classify images:
identify cancer cells and estimate their number.

Hey presto: an invitation to do better, the opportunity for automation!
And thus I was catapulted into conceptual heaven:
writing the spec for a coder to tell the machine what I’d like it to do for us.

For we, the people, can’t possibly do it: scan systematically and precisely,
pixel by pixel, compare and check, decide and proceed:
counting the good ones and the bad ones – just as Cinderella.

And now I wonder: will Prince Charming show up in the shape of Cancer Research UK?