We have developed a self-correction algorithm capable of greatly reducing non-linearity errors in the scanning mechanism of 3D microscopy. The approach is computationally self-corrected in the sense that such errors are calculated using the same data that are used for the 3D reconstruction.

We propose a method for increasing the speed of topographic imaging by orders of magnitude.

We report the implementation of a technique able to reconstruct surface topographies at high resolution, only from the acquisition of a single camera shot, dropping the need to perform an axial scan. A system prototype is reported and assessed as an ultra-fast optical surface profiler.

We present an optical system that features a large numerical aperture (>0.3) and a wide field of view (2.9 x 2.9) mm, capable of measuring additive manufacturing parts in a single measurement, without the need for lateral stitching to increase the field of view.

We modify a DMD-based optical profiler to enable lateral super-resolution of the image stack and explore how the quality of the 3D surface reconstruction can be improved.