Digital autofocusing of a coded-aperture Laue diffraction microscope

TL;DR

This paper introduces an automated optimization method for precise autofocusing in a coded-aperture Laue diffraction microscope, improving depth resolution and simplifying the setup process.

Contribution

The paper presents a novel optimization approach that automates the focusing process, reducing time and complexity compared to traditional trial-and-error methods.

Findings

The method is robust and effective with experimental data.

It improves depth resolution in Laue diffraction microscopy.

Automation reduces setup time significantly.

Abstract

To provide optimal depth resolution with a coded-aperture Laue diffraction microscope, an accurate position of the coded-aperture and its scanning geometry need to be known. However, finding the geometry by trial and error is a time-consuming and often challenging process because of the large number of parameters involved. In this paper, we propose an optimization approach to automate the focusing process after data is collected. We demonstrate the robustness and efficiency of the proposed approach with experimental data taken at a synchrotron facility.