Researchers are exploring the use of photoacoustic remote sensing microscopy for virtual histology, with various studies demonstrating its potential for label-free imaging of tissues. The technique, which involves different modalities such as ultraviolet photoacoustic remote sensing and optical coherence tomography, aims to provide detailed images of tissue structures without the need for staining. Different approaches, including deep learning-enabled methods and multi-channel feature extraction, are being developed to enhance the accuracy and effectiveness of virtual histological staining using this technology.