Computer vision for polymer characterisation using lasers
We have developed a simple laser-based platform that combines computer vision and deep learning models to classify polymer solubility and estimate the size of polymeric nanoparticles. The approach is non-invasive and allows rapid screening of samples.
Authors
- Biswanath Dutta (ORCID: https://orcid.org/0000-0003-4675-1646)
- Rob Clowes (ORCID: https://orcid.org/0009-0002-4686-2119)
- Sinan Uyanık (ORCID: https://orcid.org/0000-0001-5290-6830)
- Andrew I. Cooper (ORCID: https://orcid.org/0000-0003-0201-1021)
- Sam J. Parkinson (ORCID: https://orcid.org/0000-0002-4103-945X)
- Charlotte E. Boott
- George Killick
Institutions
- University of Liverpool (GB)
- Aston University (GB)
Publication Details
- Journal
- Digital Discovery
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5dd00219b
- Citations
- 1
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 1.24
Funders
- UK Research and Innovation
- Engineering and Physical Sciences Research Council
- Research England