  Light-sheet fluorescence microscopy (LSFM) is used to capture volume images
of biological specimens. It offers high contrast deep inside densely
fluorescence labelled samples, fast acquisition speed and minimal harmful
effects on the sample. However, LSFM images often show strong stripe artifacts
originating from light-matter interactions. We propose a robust variational
method suitable for removing stripes which outperforms existing methods and
offers flexibility through two adjustable parameters. This tool is widely
applicable to improve visual quality as well as facilitate downstream
processing and analysis of images acquired on systems that do not provide
hardware-based destriping methods. An evaluation of methods is performed on
LSFM, focused ion beam scanning electron microscopy (FIB-SEM) and remote
sensing data, supplemented by synthetic LSFM images. The latter is obtained by
simulating the imaging process on virtual samples.
