“Software Lenses”A New Instrument of Investigation

to Analyze Single Images

and Process High Throughput

The human mind is a poor instrument for processing large series of images.

“Software Lenses” combine•visual analysis algorithms with•semi-automatic image contexts •and innovative “image metrics”.

The Problem and the Solution

Image metrics are interpreted by expert users to •study short series•find averages •and determine reference values.

Embedding Human Expertise

Output

Input

Reference values are used by less skilled users to select particular images • between specific ranges• for varying visualization parameters• and metric variables.

Supporting Decisions

Association

Output

Type of Images Patterns Shape Size Lower Limit Upper Limit

Project Series Metrics 1 Metrics 2 Select Criterion 1 Select Criterion 2

Cytology Average Dye Colour

Average Cell Size

Dye Colour Cell Size

Volvox cells 0.111 11 0.1234 0.15Stem cells 0.222 22 0.2345 0.26Sickle cells 0.333 33 0.3456 0.37Blood cells 0.444 44 0.4567 0.48

Red blood cells 0.555 55 0.5678 0.59

Output For visual analysis, the software reveals:•new depth•new perspectives•hitherto invisible structures.

Due to its generic nature, the software offers metric investigation:•for any context at any scale and any imaging technology•quantifications for any aspect•real time functionality for processing large amounts.

Input

Images Re-Visualized

Re-Visualizations as Proof of “3d metric” Concepts

Prototype software re-visualizes individual images.

It proves that the “3d metric” approach is worth developing for high throughput processing.

As a first application, the cytology / pathology market is a multi-billion market and growing.