4 papers
Contrast-invariant deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +6
Ptychography neural networks suffer from scaling inconsistencies when generalizing out of distribution, limiting their real world viability. We address this scaling mismatch using…
Tomographic Phase Imaging with Randomized Probe Imaging
Jordan T. O'Neal, Byeongdu Lee, Soenke Seifert +6
We demonstrate tomographic phase imaging of cubic gold nanoparticles with sub-100 nm resolution requiring just a single far-field coherent diffraction pattern per projection. By us…
Towards generalizable deep ptychography neural networks
Albert Vong, Steven Henke, Oliver Hoidn +8
X-ray ptychography is a data-intensive imaging technique expected to become ubiquitous at next-generation light sources delivering many-fold increases in coherent flux. The need fo…
Pty-Chi: A PyTorch-based modern ptychographic data analysis package
Ming Du, Hanna Ruth, Steven Henke +11
Ptychography has become an indispensable tool for high-resolution, non-destructive imaging using coherent light sources. The processing of ptychographic data critically depends on…