Quantitative Tissue Property Measurements with Structured Illumination and Deep Learning

We present a content-aware deep learning technique to estimate tissue optical properties and oxygenation from single structured illumination images. It is wide-field, data-efficient, and robust to various tissue types. This technique has the potential to enable rapid and accurate tissue property measurements in clinical settings.