Extract quantitative insight from images to accelerate decision-making
Insight trapped in images
Valuable information can be difficult to extract at scale.
Analyst-dependent
Different people and methods can produce different outcomes.
Analysis bottleneck
Image-heavy workflows can slow down wider R&D activity.
Delayed decisions
Slow analysis can delay the point at which teams can act.
Robust evidence empowers confident decisions
When useful information is locked inside complex images, teams can lose time extracting it, struggle to compare results consistently, and delay decisions in R&D and production.
What gets in the way of faster, more consistent image analysis?
Tell us how you currently analyse images, where the challenges are, and what would make the process easier.
Transform your imaging capability into reliable, repeatable decisions.
- Extract quantitative insight from complex images
- Reduce manual analysis
- Improve consistency across product development and manufacture.
Improve consistency
Turn complex images into reliable decisions.
Standardise results
Make image analysis repeatable and reliable.
Accelerate analysis
Reduce manual effort in your image analysis.
Research & collaboration
MORPHSIS was developed through research at The University of Manchester by Dr Dan Scotson and Professor Ping Xiao, combining expertise in advanced coating systems, materials characterisation and microstructural analysis.
The team works with researchers, organisations and industry collaborators to explore new applications for quantitative image analysis.
Tell us about your image-analysis needs
Working with complex microscopy or materials images? Explore whether MORPHSIS could help.
Supported by FIS360 at the Research to Reality programme with the University of Manchester Innovation Factory
