Compared with existing imaging analysis software, our approach differs fundamentally.
On a step-by-step level, the following takes place:
- an image is input with tags as descriptors for the image as a whole and for its components
- the tags are stored in a domain- or client-specific vocabulary
- the length scale is indicated
- the image is analysed according to our multi-dimensional approach, and image-specific parameters are stored in a data base regarding the image as a whole
- image components are analysed according to regions of interest or ‘zoomable areas’
- subsequent images can then be compared numerically according to indicators regarding the image as a whole and its components
- series of images are used to find averages across values that are presented to expert users
- reference images are used to produce repeatable values for parameter settings of the imaging technology
- less skilled users benefit from the system that improves as its data base of images and derived values grows.
On a visual level, our re-visualizations are unique and will offer many options for customisation and tailoring.
On a metric level, we will deliver those measures that are inherent in images and that have meaning and value to whoever produced them.
On a cybernetic level, the system lives of a continuous feedback loop between
- our “software vision” for image analysis and metrics
- our “software lenses” for human investigation of focus and perspective
- sophisticated parametrisation of data base input and retrieval.
English gallery with albums of images.
German gallery with different albums and different images.