In life sciences, confocal fluorescence microscopy (CFM) is widely regarded for producing high-resolution cellular images. However, it requires fluorescent staining, which poses risks of photobleaching and phototoxicity, potentially damaging the cells under study. Conversely, mid-infrared photoacoustic microscopy (MIR-PAM) allows for label-free imaging, preserving cell integrity. Yet, its reliance on longer wavelengths limits spatial resolution, making it difficult to visualize fine cellular structures with precision.
AI transforms label-free photoacoustic microscopy into confocal microscopy
