Work

HoToPy : a toolbox for X-ray holo-tomography in Python

Year: 2025

Type: article

Abstract: We present a Python toolbox for holographic and tomographic X-ray imaging. It comprises a collection of phase retrieval algorithms for the deeply holographic and direct contrast imaging regimes, including non-linear approaches and extended choices of regularization, constraint sets and optimizers, all implemented with a unified and intuitive interface. Moreover, it features auxiliary functions for (tomographic) alignment, image processing and simulation of imaging experiments. The capability of the toolbox is illustrated by an example of a catalytic nanoparticle, imaged in the deeply holographic regime at the `GINIX' instrument of the P10 beamline at the PETRA III storage ring (DESY, Hamburg, Germany). Due to its modular design, the toolbox can be used for algorithmic development and benchmarking in a lean and flexible manner, or be interfaced and integrated in the reconstruction pipeline of other synchrotron or X-ray free-electron laser instruments for phase imaging based on propagation.

Source: Journal of Synchrotron Radiation

DOI: 10.1107/s1600577525008550

Authors: Jens Lucht, Paul Meyer, Leon Merten Lohse, Tim Salditt

Institutions: University of Göttingen, Universität Hamburg, Hamburg Centre for Ultrafast Imaging

Language: English

Topic: Advanced X-ray Imaging Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,180

Funders: Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Max Planck School of Photonics