Reconstruction algorithm for sub-second X-ray tomographic microscopy of liquid water dynamics in polymer electrolyte fuel cells (87)
Sub-second X-ray tomographic microscopy is a powerful tool to gain understanding of water dynamics in fuel cells during operation. Reconstruction of these sparse, limited signal-to-noise ratio dynamic datasets requires advanced algorithmic solutions. We propose an extension of rSIRT-PWC [1] todifference sinograms, so minimizing time-consuming and error prone manual labor.