Tootfinder

Performance Validation of Coded Wavefront Sensing for Quantitative Phase Imaging of Static and Dynamic Specimens Using Digital Holographic Microscopy
Syed Muhammad Kazim, Franziska Strasser, Mia Kv{\aa}le L{\o}vmo, Andrii Nehrych, Simon Moser, Micha{\l} Ziemczonok, Wolfgang Heidrich, Ivo Ihrke, Monika Ritsch-Marte
https://arxiv.org/abs/250…

Performance Validation of Coded Wavefront Sensing for Quantitative Phase Imaging of Static and Dynamic Specimens Using Digital Holographic Microscopy
Coded wavefront sensing (Coded-WFS) is a snapshot quantitative phase imaging (QPI) technique that has been shown to successfully leverage the memory effect to retrieve the phase of biological specimens. In this paper, we perform QPI on static silica beads and dynamic HEK cells using Coded-WFS. The accuracy of the retrieved phase map is validated using digital holographic microscopy (DHM) for the same specimens. We report comparisons of simultaneous bright-field intensity and optical path delay.

The Ubiquitous Sparse Matrix-Matrix Products
Ayd{\i}n Bulu\c{c}
https://arxiv.org/abs/2508.04077 https://arxiv.org/pdf/2508.04077

The Ubiquitous Sparse Matrix-Matrix Products
Multiplication of a sparse matrix with another (dense or sparse) matrix is a fundamental operation that captures the computational patterns of many data science applications, including but not limited to graph algorithms, sparsely connected neural networks, graph neural networks, clustering, and many-to-many comparisons of biological sequencing data. In many application scenarios, the matrix multiplication takes places on an arbitrary algebraic semiring where the scalar operations are overloa…