Mueller matrix microscopy is capable of mapping tissue architecture at the subcellular level. Wan, Dong and colleagues report an unsupervised learning approach to identify pathological structures by clustering polarization features in Muller matrix images. This approach enables the identification of microstructures subtypes invisible in nonpolarized optical images.
- Jiachen Wan
- Yang Dong
- Hui Ma
