PyCCAPT: A Python Package for Open‐Source Atom Probe Instrument Control and Data Calibration

Currently, the vast majority of atom probe instruments in use are commercial systems with closed, proprietary software. This is limiting for many experiments where low-level access to machine control, experiment data, or custom instrument setups is necessary. Over the past decade, advancements in off-the-shelf detector systems, fast data bus systems, and the availability of high-level programming languages such as Python have made it feasible to design and construct atom probe systems without extensive engineering expertise. Despite this progress, developing control system software, associated instruments, and data calibration algorithms remains a significant challenge for many projects. In this article, we introduce an atom probe control system that can be flexibly adapted to various hardware configurations. This system also includes essential instrument and experiment calibration algorithms, offering complete transparency to the user. This framework provides flexibility for innovative experiments and enhances calibration accuracy not possible with commercial systems. The methods and algorithms discussed are implemented in Python Control and Calibration for Atom Probe Tomography (PyCCAPT), which is an open-source solution for APT, addressing a gap in experimental control and data processing. While not compatible with commercial atom probes for data acquisition, its calibration module can be used for direct-flight-path systems and adapted for reflection-based instruments.

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Publication Details

Journal
Microscopy Research and Technique
Published
2025-07-19
DOI
https://doi.org/10.1002/jemt.70011
Primary Topic
Advanced Materials Characterization Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

PyCCAPT: A Python Package for Open‐Source Atom Probe Instrument Control and Data Calibration

Peter Hommelhoff, Benedict Ott, Stefan Meier, Peter Felfer et al.
Microscopy Research and Technique
Advanced Materials Characterization Techniques
article

PyCCAPT: A Python Package for Open‐Source Atom Probe Instrument Control and Data Calibration

Peter Hommelhoff, Benedict Ott, Stefan Meier, Peter Felfer, Jonas Heimerl, Mehrpad Monajem
article en

Abstract

Currently, the vast majority of atom probe instruments in use are commercial systems with closed, proprietary software. This is limiting for many experiments where low-level access to machine control, experiment data, or custom instrument setups is necessary. Over the past decade, advancements in off-the-shelf detector systems, fast data bus systems, and the availability of high-level programming languages such as Python have made it feasible to design and construct atom probe systems without extensive engineering expertise. Despite this progress, developing control system software, associated instruments, and data calibration algorithms remains a significant challenge for many projects. In this article, we introduce an atom probe control system that can be flexibly adapted to various hardware configurations. This system also includes essential instrument and experiment calibration algorithms, offering complete transparency to the user. This framework provides flexibility for innovative experiments and enhances calibration accuracy not possible with commercial systems. The methods and algorithms discussed are implemented in Python Control and Calibration for Atom Probe Tomography (PyCCAPT), which is an open-source solution for APT, addressing a gap in experimental control and data processing. While not compatible with commercial atom probes for data acquisition, its calibration module can be used for direct-flight-path systems and adapted for reflection-based instruments.

Microscopy Research and TechniqueVol. 88(12)
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
European Commission, Deutsche Forschungsgemeinschaft, European Research Council, HORIZON EUROPE Excellent Science
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Advanced Materials Characterization Techniques
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