The 3D Metrics logo expresses dynamic and harmonic movement in 3D space. The new site 3d-metrics.com links to my web presence across my ‘professional life with zest’, ‘social life with meaning’ and personal accounts.

Software for Seeing What You Want to Know is, so far, still only on my laptop, and, for the purpose of forecasting financial data, on the demo site www.3dmetrics.net.

Complex data and digital images appear in a ‘new light’ thanks to my prototype software that ‘layers’ complex data and ‘re-visualizes’ digital images.

3D Realities are re-presented either by measurements and time series or by images. The software shows more visual detail and quantifies hitherto unquantifiable qualities on 2D screens:

  • complex data can reveal more in ‘layers’ and be used for decision support in expert systems
  • digital images show more visual depth and perspective, while this ‘software vision’ can process hundreds and thousands of images for comparison and selections
  • new qualitative measures can be derived when interpreting what we are looking for using ‘software vision’ and ‘image metrics’.

The Terahertz image of a hand is input into my prototype software as an illustration of the “re-visualization” that the software achieves.

Terahertz image of hand, re-visualized with my prototype software

Terahertz image of hand, re-visualized with my prototype software

The wavy re-visualization was produced from this reference image that was given to me by the National Physical Laboratories (NPL), responsible for measuring in the UK. As a ‘reference image’ it can be used for calibrating microscopes.

Greyscale reference image

Greyscale reference image

Grey reference image re-visualized

Grey reference image re-visualized

The third re-visualization also stems from an NPL image: a sprayed surface that gives rise to much more visual depth and metric detail than the original.

Sprayed surface

Sprayed surface

Revisualization of sprayed surface

Revisualization of sprayed surface

The image serves as a sample for the capabilities resulting from the software:

  • ‘seeing more detail’ with human eyes
  • ‘processing more images’ with ‘software vision’
  • ‘interpreting more’ with expert portals that rely on the decision support provided by ‘image metrics’.

The historic company from Jena in the former DDR came to town with a suite of state of the art microscopes on show. It was great to get not only an overview, but also first hand insights into the techniques of building microscopes. And thus I have been thinking about how to express my generic software methods such that they look useful to them.

As a first step, I visited their Imaging Applications and picked a few images to re-visualize – for more metric detail and new visual perspectives as usual – for experts to interpret. Ultimately, of course, their familiarity with their subject matter should be embedded into an expert system. The feedback with our software will then result in less skilled people able to use the system.

So far, I am doing my ‘number acrobatics’ by-hand, feeding the prototype software that I never intended to use for image handling. That’s the difference between large funded institutions and corporations and an inventor’s software-aided mind!

Here‘s an original image that I re-visualized:

An image collected with a ZEISS LSM 510 Meta

An image collected with a ZEISS LSM 510 Meta

And here’s my re-visualization as proof of the principle that my software methods represent the building blocks for a new tool of investigation – adding value to the physics and engineering of Zeiss’ microscopes.

The re-visualization is only for the human eye

The re-visualization for the human eye

“Software vision” can lead to automating image analysis by selecting and ranking images based on our quantifications.

I submitted the above example also to their Application Library.

Here‘s another original which I had to turn to match my re-visualization.

Adult Olfactory Bulb Granule Cell Integration

Adult Olfactory Bulb Granule Cell Integration

Value is added by more metric details for quantitative comparisons

Value is added by more metric details for quantitative comparisons

However, some of the ‘branches’ can’t be seen because they are below the surface that has been created by the blue blackground.

Terahertz Systems and Industrial Applications was the event organised by the Electronics KTN in collaboration with TeraNova. It was a great overview of the state of the art.

I had put the Poster for Terahertz Conference together, trying to put into A1 format what I’m trying to convey over and over again: the deep genericness of my new approach to digital images.

So I came up with the title ‘Software Vision’ for Digital Microscopy and ‘Image Metrics’ for Automated Analysis.

I found this terahertz image of a hand on the website of Vision Systems – also thanks to Google images. The instrument that produced it is called the StarTiger imager.

Terahertz image of hand, re-visualized with my prototype software

Terahertz image of hand, re-visualized with my prototype software

The Electronics KTN is organising an event on Terahertz Systems and Industrial Applications at the Royal Society on Feb. 25th, and I am thinking about a poster for that.

Google brought me to this story from Thruvision who are going to give a presentation.

The image shows a person “seen” through the clothes.

Terahertz camera sees through clothes

Terahertz camera sees through clothes

When “re-visualized” with my demonstrator software, the image is unfortunately on its head, and it is too tedious at this stage to change the bits of code I’m using.

The basis for comparisons via 'metric details'

The basis for comparisons via 'metric details'

The same image "viewed" from a different angle

Hen egg lysozyme re-visualized with visual depth and metric detail

Hen egg lysozyme re-visualized with visual depth and metric detailA protein example to illustrate how more quantitative information can be derived from digital images

Here are the slides of the presentation at the workshop on protein analysis organized by Qi3 and the Scientific and Technical Facilities Council.

Ironically, I jumped in to replace a talk on GRID as we’re just contemplating the advantages of GRID computing to differentiate cell types.

A mammograph re-visualized with more visual depth and metric detail

Genesis is an annual conference that took place over an evening reception, a joint conference day at the Queen Elizabeth Conference Centre and another conference day at the BERR conference centre.

I was invited to present my innovation as a “showcase” in the “Tech. Platform” stream. Here are the slides and a video will even follow!

Jonathan Gray and Rufus Pollock are the two movers and shakers behind the Open Knowledge Foundation. They organised two impressive events on openly accessible data from public institutions and scientific resources.

The venue was the London Knowledge Lab – exploring the future of learning with digital technologies – in Bloomsbury with the impressive history and tradition of interdisciplinary enquiry at the frontiers of knowledge.

The structure at the London Knowledge Lab is a masterpiece of design and execution!

3D Structure at the London Knowledge Lab

3D Structure at the London Knowledge Lab

This event was a great opportunity for presenting the potential of my software for medical applications. The Director of the NHS Technology Adoption Centre, who chaired the session, said “very difficult concept to get across” and advised me to contact a whole list of big companies.

On December 10th at 11.30 I’ll have the opportunity for another pitch on the Tech Platform at the Genesis conference. So I shall keep practising.

Stem cells

Stem cells

Stem cells re-visualized in "Visual 3D"

The re-visualization in “visual” and “metric 3D” allows the expert to “see more” and our software to “measure more”: the qualities that experts want to quantify by comparing images with each other.

These are the slides that I presented at this seminar.

Thanks to freelance technologist and “company doctor” David Topham who had introduced me to Dr. Marc Desmulliez, I was introduced to everybody working on imaging which resulted in most fruitful conversations.

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