Software Lenses
-
Upload
sabine-mcneill -
Category
Technology
-
view
321 -
download
0
description
Transcript of Software Lenses
“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.