2023
DOI: 10.1002/celc.202201081
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X‐Ray Microscopy: A Non‐Destructive Multi‐Scale Imaging to Study the Inner Workings of Batteries

Abstract: X-ray microscopy (XRM) is a non-destructive characterization technique that provides quantitative information regarding the morphology/composition of the specimen and allows to perform multiscale and multimodal 2D/3D experiments exploiting the radiation-matter interactions. XRM is particularly suitable to afford in situ images of inner parts of a battery and for the early diagnosis of its degradation in a non-invasive way. Since traditional characterization techniques (SEM, AFM, XRD) often require the removal … Show more

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Cited by 5 publications
(3 citation statements)
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References 29 publications
(41 reference statements)
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“…X-ray Microscopy (XRM) is a characterization technique that allows the three-dimensional investigation of internal features of specimens in a non-destructive way [10] [11] [12] [13]. XRM has been involved in wide range of applications such as aerospace [14,15], energy materials research [16,17,18], electronics and semiconductors [19,20], cultural heritage [21,22,23,24], biomedical engineering [25,26], and biology [27]. The contrast obtained in the final image strongly depends on the X-ray absorption phenomenon that occurs along the X-ray beam path L (in m) inside the sample which is function of the attenuation coefficient value µ(x) (in m -1 ) in a certain position x (in m) along the path inside the specimen and depends on the intensity of the X-ray beam before entering the sample I0 (in Watt).…”
Section: Introductionmentioning
confidence: 99%
“…X-ray Microscopy (XRM) is a characterization technique that allows the three-dimensional investigation of internal features of specimens in a non-destructive way [10] [11] [12] [13]. XRM has been involved in wide range of applications such as aerospace [14,15], energy materials research [16,17,18], electronics and semiconductors [19,20], cultural heritage [21,22,23,24], biomedical engineering [25,26], and biology [27]. The contrast obtained in the final image strongly depends on the X-ray absorption phenomenon that occurs along the X-ray beam path L (in m) inside the sample which is function of the attenuation coefficient value µ(x) (in m -1 ) in a certain position x (in m) along the path inside the specimen and depends on the intensity of the X-ray beam before entering the sample I0 (in Watt).…”
Section: Introductionmentioning
confidence: 99%
“…However, XRM enables sub-micron resolution analysis that cannot be achieved with microCT, thanks to its unique optics-based design. XRM offers a broad range of applications in energy materials research and batteries 12 , 13 , cultural heritage characterization and preservation 14 – 17 , biomedical engineering 18 , 19 , electronics and semiconductors 20 , 21 , life sciences 22 24 , and food analysis 25 , 26 . Deep Learning (DL) based XRM reconstruction is an emerging technology that involves the utilisation of trained neural networks following the acquisition of a set of X-ray projections (or radiographs) and the subsequent reconstruction of a volume.…”
Section: Introductionmentioning
confidence: 99%
“…CLEM can be combined with complementary destructive and non-destructive characterization techniques such as X-ray microscopy (XRM) [19][20][21][22][23], X-ray diffraction (XRD) [24,25], Raman spectroscopy [26,27], electron backscatter diffraction (EBSD) [28,29], and focused ion beam scanning electron microscopy (FIB-SEM) tomography [30].…”
Section: Introductionmentioning
confidence: 99%