Image registration for accurate electrode deformation analysis in operando microscopy of battery materials
Operando imaging techniques have become increasingly valuable in both battery research and manufacturing. However, the reliability of these methods can be compromised by instabilities in the imaging setup and operando cells, particularly when utilizing high-resolution imaging systems. The acquired i...
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| Format: | Article |
| Language: | English |
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International Union of Crystallography
2025-03-01
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| Series: | Journal of Synchrotron Radiation |
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| Online Access: | https://journals.iucr.org/paper?S1600577524012293 |
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| author | Tianxiao Sun Robert Peng Wenlong Li Yijin Liu |
| author_facet | Tianxiao Sun Robert Peng Wenlong Li Yijin Liu |
| author_sort | Tianxiao Sun |
| collection | DOAJ |
| description | Operando imaging techniques have become increasingly valuable in both battery research and manufacturing. However, the reliability of these methods can be compromised by instabilities in the imaging setup and operando cells, particularly when utilizing high-resolution imaging systems. The acquired imaging data often include features arising from both undesirable system vibrations and drift, as well as the scientifically relevant deformations occurring in the battery sample during cell operation. For meaningful analysis, it is crucial to distinguish and separately evaluate these two factors. To address these challenges, we employ a suite of advanced image-processing techniques. These include fast Fourier transform analysis in the frequency domain, power spectrum-based assessments for image quality, as well as rigid and non-rigid image-registration methods. These techniques allow us to identify and exclude blurred images, correct for displacements caused by motor vibrations and sample holder drift and, thus, prevent unwanted image artifacts from affecting subsequent analyses and interpretations. Additionally, we apply optical flow analysis to track the dynamic deformation of battery electrode materials during electrochemical cycling. This enables us to observe and quantify the evolving mechanical responses of the electrodes, offering deeper insights into battery degradation. Together, these methods ensure more accurate image analysis and enhance our understanding of the chemomechanical interplay in battery performance and longevity. |
| format | Article |
| id | doaj-art-b99cd3e9c9b74e1a91fbfef1cb5d5a30 |
| institution | DOAJ |
| issn | 1600-5775 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | International Union of Crystallography |
| record_format | Article |
| series | Journal of Synchrotron Radiation |
| spelling | doaj-art-b99cd3e9c9b74e1a91fbfef1cb5d5a302025-08-20T02:46:08ZengInternational Union of CrystallographyJournal of Synchrotron Radiation1600-57752025-03-0132241742310.1107/S1600577524012293gy5070Image registration for accurate electrode deformation analysis in operando microscopy of battery materialsTianxiao Sun0Robert Peng1Wenlong Li2Yijin Liu3Walker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USAMcNeil High School, Austin, TX 78729, USAWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USAWalker Department of Mechanical Engineering, The University of Texas at Austin, Austin, TX 78712, USAOperando imaging techniques have become increasingly valuable in both battery research and manufacturing. However, the reliability of these methods can be compromised by instabilities in the imaging setup and operando cells, particularly when utilizing high-resolution imaging systems. The acquired imaging data often include features arising from both undesirable system vibrations and drift, as well as the scientifically relevant deformations occurring in the battery sample during cell operation. For meaningful analysis, it is crucial to distinguish and separately evaluate these two factors. To address these challenges, we employ a suite of advanced image-processing techniques. These include fast Fourier transform analysis in the frequency domain, power spectrum-based assessments for image quality, as well as rigid and non-rigid image-registration methods. These techniques allow us to identify and exclude blurred images, correct for displacements caused by motor vibrations and sample holder drift and, thus, prevent unwanted image artifacts from affecting subsequent analyses and interpretations. Additionally, we apply optical flow analysis to track the dynamic deformation of battery electrode materials during electrochemical cycling. This enables us to observe and quantify the evolving mechanical responses of the electrodes, offering deeper insights into battery degradation. Together, these methods ensure more accurate image analysis and enhance our understanding of the chemomechanical interplay in battery performance and longevity.https://journals.iucr.org/paper?S1600577524012293operando imagingbattery degradationimage registrationoptical flow analysischemomechanical coupling |
| spellingShingle | Tianxiao Sun Robert Peng Wenlong Li Yijin Liu Image registration for accurate electrode deformation analysis in operando microscopy of battery materials Journal of Synchrotron Radiation operando imaging battery degradation image registration optical flow analysis chemomechanical coupling |
| title | Image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| title_full | Image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| title_fullStr | Image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| title_full_unstemmed | Image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| title_short | Image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| title_sort | image registration for accurate electrode deformation analysis in operando microscopy of battery materials |
| topic | operando imaging battery degradation image registration optical flow analysis chemomechanical coupling |
| url | https://journals.iucr.org/paper?S1600577524012293 |
| work_keys_str_mv | AT tianxiaosun imageregistrationforaccurateelectrodedeformationanalysisinoperandomicroscopyofbatterymaterials AT robertpeng imageregistrationforaccurateelectrodedeformationanalysisinoperandomicroscopyofbatterymaterials AT wenlongli imageregistrationforaccurateelectrodedeformationanalysisinoperandomicroscopyofbatterymaterials AT yijinliu imageregistrationforaccurateelectrodedeformationanalysisinoperandomicroscopyofbatterymaterials |