Researchers at the University of California, Los Angeles (UCLA) have pioneered a groundbreaking approach in the imaging and detection of amyloid deposits in tissue samples. The innovative method leverages deep learning and autofluorescence microscopy to achieve virtual birefringence imaging and histological staining, eliminating the need for polarization imaging and traditional chemical stains like Congo red.
AI-based tissue staining can detect amyloid deposits without chemical stains or polarization microscopy
