ArticleJournal of synchrotron radiation2025
HoToPy: a toolbox for X-ray holo-tomography in Python.
Article in Journal of synchrotron radiation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Dynamic Contact Angles on Moving Fibers Measured by X-ray Holography.Langmuir : the ACS journal of surfaces and colloids · 2026Article
- X-ray waveguide optics at GINIX/P10 PETRA III: recent progress and future directions.Journal of synchrotron radiation · 2026Article
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Authors and funding
4 authors.
Funding
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.
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Registered trials
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