Convolutional neural network approach to ion Coulomb crystal image analysis Article Swipe
John F. Allsopp
,
Jake A. Diprose
,
Brianna R. Heazlewood
,
C. Zagorec-Marks
,
H. J. Lewandowski
,
Lorenzo S. Petralia
,
T. P. Softley
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1063/5.0272967
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1063/5.0272967
This paper reports on the use of a convolutional neural network methodology to analyze fluorescence images of calcium-ion Coulomb crystals in the gas phase. A transfer-learning approach is adopted using the publicly available RESNET50 model. It is demonstrated that by retraining the neural network on around 500 000 simulated images, we are able to determine ion-numbers not only for a validation set of 100 000 simulated images but also for experimental calcium-ion images from two different laboratories using a wide range of ion-trap parameters. Absolute ion numbers in the crystal were determined for the experimental data with a percentage error of ∼10%. This analysis can be performed in a few seconds for an individual crystal image, and therefore, the method enables the objective, and efficient, analysis of such images in real time. The approach adopted also shows promising performance for identifying Ca+ ion numbers in images of mixed-species crystals, thereby enhancing the experimental methodologies for studying the kinetics and dynamics of cold ion–molecule reactions.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1063/5.0272967
- OA Status
- hybrid
- Cited By
- 1
- References
- 47
- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4412554010Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1063/5.0272967Digital Object Identifier
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Convolutional neural network approach to ion Coulomb crystal image analysisWork title
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articleOpenAlex work type
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enPrimary language
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2025Year of publication
- Publication date
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2025-07-22Full publication date if available
- Authors
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John F. Allsopp, Jake A. Diprose, Brianna R. Heazlewood, C. Zagorec-Marks, H. J. Lewandowski, Lorenzo S. Petralia, T. P. SoftleyList of authors in order
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https://doi.org/10.1063/5.0272967Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1063/5.0272967Direct OA link when available
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Ion, Convolutional neural network, Crystal (programming language), Artificial neural network, Artificial intelligence, Image (mathematics), Computer science, Range (aeronautics), Materials science, Biological system, Chemistry, Organic chemistry, Programming language, Composite material, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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