Abstract
Multidimensional fluorescence microscopy data are often collected under imaging conditions that cause aberrations. For proper deconvolution of such data, one needs to generate a Point Spread Function (PSF) that includes the aberrations. Even if it is possible to model the imaging aberrations theoretically, there remains the problem of modifying the PSF accordingly. Measured PSFs are difficult to modify, and theoretical PSFs lack lens- and system-specific features. Phase retrieval approaches can be used to produce a compact and modifiable description of a microscope system, including its measured, system-specific performance. These pupil functions can be used in a depth-dependent deconvolution to correct for geometric distortions and improve restoration of relative intensities compared to spatially invariant deconvolution using unaberrated PSFs.
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