Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality imaging. We propose a sample prior–based PSF decoupling method, where ...

Engineers at the UCLA Samueli School of Engineering introduced a framework for universal point spread function (PSF) engineering, enabling the synthesis of arbitrary spatially varying 3D PSFs using ...