{"title":"A step towards 6D WAXD tensor tomography","authors":"Xiaoyi Zhao , Zheng Dong , Chenglong Zhang , Himadri Gupta , Zhonghua Wu , Wenqiang Hua , Junrong Zhang , Pengyu Huang , Yuhui Dong , Yi Zhang , V. T. Forsyth (Editor)","doi":"10.1107/S2052252524003750","DOIUrl":null,"url":null,"abstract":"<div><p>A novel approach is reported for 6D wide-angle X-ray diffraction tensor tomography characterization based on the concept of virtual reciprocal-space scanning.</p></div><div><p>X-ray scattering/diffraction tensor tomography techniques are promising methods to acquire the 3D texture information of heterogeneous biological tissues at micrometre resolution. However, the methods suffer from a long overall acquisition time due to multi-dimensional scanning across real and reciprocal space. Here, a new approach is introduced to obtain 3D reciprocal information of each illuminated scanning volume using mathematic modeling, which is equivalent to a physical scanning procedure for collecting the full reciprocal information required for voxel reconstruction. The virtual reciprocal scanning scheme was validated by a simulated 6D wide-angle X-ray diffraction tomography experiment. The theoretical validation of the method represents an important technological advancement for 6D diffraction tensor tomography and a crucial step towards pervasive applications in the characterization of heterogeneous materials.</p></div>","PeriodicalId":14775,"journal":{"name":"IUCrJ","volume":"11 4","pages":"Pages 502-509"},"PeriodicalIF":2.9000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220869/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IUCrJ","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S2052252524000502","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A novel approach is reported for 6D wide-angle X-ray diffraction tensor tomography characterization based on the concept of virtual reciprocal-space scanning.
X-ray scattering/diffraction tensor tomography techniques are promising methods to acquire the 3D texture information of heterogeneous biological tissues at micrometre resolution. However, the methods suffer from a long overall acquisition time due to multi-dimensional scanning across real and reciprocal space. Here, a new approach is introduced to obtain 3D reciprocal information of each illuminated scanning volume using mathematic modeling, which is equivalent to a physical scanning procedure for collecting the full reciprocal information required for voxel reconstruction. The virtual reciprocal scanning scheme was validated by a simulated 6D wide-angle X-ray diffraction tomography experiment. The theoretical validation of the method represents an important technological advancement for 6D diffraction tensor tomography and a crucial step towards pervasive applications in the characterization of heterogeneous materials.
X 射线散射/衍射张量断层成像技术是以微米分辨率获取异质生物组织三维纹理信息的有效方法。然而,由于需要在实空间和倒易空间进行多维扫描,这些方法的总体采集时间较长。本文介绍了一种新方法,利用数学建模获取每个照明扫描体积的三维倒易信息,这相当于物理扫描程序,可收集体素重建所需的全部倒易信息。虚拟往复扫描方案通过模拟 6D 广角 X 射线衍射断层扫描实验进行了验证。该方法的理论验证代表了 6D 衍射张量断层扫描的重要技术进步,也是向异质材料表征的广泛应用迈出的关键一步。
期刊介绍:
IUCrJ is a new fully open-access peer-reviewed journal from the International Union of Crystallography (IUCr).
The journal will publish high-profile articles on all aspects of the sciences and technologies supported by the IUCr via its commissions, including emerging fields where structural results underpin the science reported in the article. Our aim is to make IUCrJ the natural home for high-quality structural science results. Chemists, biologists, physicists and material scientists will be actively encouraged to report their structural studies in IUCrJ.