Abstract: “Empowered by pixel super-resolution (PSR) and phase retrieval techniques, lensless onchip microscopy opens up new possibilities for high-throughput biomedical imaging. However, the current PSR phase retrieval approaches are time consuming in terms of both the measurement and reconstruction procedures. In this work, we present a novel computational framework for PSR phase retrieval to address these concerns. Specifically, a sparsity-promoting regularizer is introduced to enhance the well posedness of the nonconvex problem under limited measurements, and Nesterov’s momentum is used to accelerate the iterations. The resulting algorithm, termed accelerated Wirtinger flow (AWF), achieves at least an order of magnitude faster rate of convergence and allows a twofold reduction in the measurement number while maintaining competitive reconstruction quality. Furthermore, we provide general guidance for step size selection based on theoretical analyses, facilitating simple implementation without the need for complicated parameter tuning. The proposed AWF algorithm is compatible with most of the existing lensless on-chip microscopes and could help achieve label-free rapid whole slide imaging of dynamic biological activities at subpixel resolution.”
Restricted Access
Publication: Cells
Issue/Year: Cells, Volume 11; Number 13; Pages 1999; 2022
Authors:Michael Flachhuber, Johannes Scheuchenpflug, Thomas Hilbert, Norbert Danz, Peter Schreiber, Leo M. Wilhelm, Markus Metz, Jean-Christope Olaya, Tobias Reusch
MaMeK: a wide-angle dynamic holographic projection system for human-vehicle communication