Researchers are exploring the use of deep learning and other technologies to enable virtual staining and analysis of biological samples, potentially transforming the field of histopathology. This approach, which includes methods such as label-free photoacoustic histology and dual-excitation photon absorption remote sensing microscopy, may allow for more efficient and accurate analysis of samples. Various studies are investigating the application of these technologies to different types of samples, including blood smears and breast cancer tissue.