Cell structure identification

Identifying key structures in medical microscopy is critical to accurately detect diseases like cancer and diabetes, but most of the work has to be done by hand. Tools like X-Ray Diffraction Microscopy can help, but it requires significant time to process samples. 

Can we use AI to detect structural differences between cell structures, allowing us to approximate X-Ray Diffraction results without requiring the same time commitment as physically scanning a tissue sample?

Changmin Tian

Developing algorithms for segmenting (sub)cellular structures in large-scale electron microscopy images, including hyperspectral data, in collaboration with UMCG, Biomedical Science of Cells & Systems. Affiliations: UMCG