Abstract
We provide a brief overview of tissue diagnosis using quantitative phase imaging that enables label-free
tissue diagnosis using quantitative criteria. First, we introduce quantitative phase imaging methods and
their properties. Next as one quantitative phase imaging method that is suitable for tissue diagnostic applications,
we explain a procedure that obtains quantitative phase images using spatial light interference
microscopy (SLIM). Next we calculate the procedure of feature maps that can be extracted from the
quantitative phase images of tissue slices that are particularly useful for cancer diagnosis. Finally, we
introduce some recent trends, especially examples of quantitative phase imaging and tissue diagnostic
methods using artificial intelligence (AI) technologies.