Stochastic optical reconstruction microscopy (STORM microscopy) revolutionized superresolution segment in neuroscience almost fifteen years ago. Although, it also has some limitations (overlapping emitters in dense tissue even in 2D) Shechtman and his colleagues claimed they have a solution called PSF engineering. They implemented phase mask (using either a liquid crystal spatial light modulator (LC-SLM) or fabricated fused silica) dictates the shape of the PSF as a function of the emitter’s axial position. They also used a deconvolution algorithm to create fine structural images over large axial volume (4 µm). Moreover, volumetric tracking is also possible. They named it DeepSTORM3D technique. It can open new horizons for other interesting applications.

You can find more details here: https://www.nature.com/articles/s41592-020-0853-5

Nehme, E., Freedman, D., Gordon, R. et al. DeepSTORM3D: dense 3D localization microscopy and PSF design by deep learning. Nat Methods (2020).