X-ray dark-field tomography of fresh biological samples with the grating interferometry

被引:0
|
作者
Jiang, Xiaolei [1 ,2 ]
Zhang, Li [1 ,2 ]
Zhang, Ran [1 ,2 ]
Zhu, Xiaohua [1 ,2 ]
机构
[1] Tsinghua Univ, Dept Engn Phys, Beijing 100084, Peoples R China
[2] Tsinghua Univ, Key Lab Particle & Radiat Imaging, Minist Educ, Beijing 100084, Peoples R China
关键词
small-angle scattering; dark-field imaging; phase contrast imaging; grating interferometry; TALBOT INTERFEROMETRY; COMPUTED-TOMOGRAPHY; CONTRAST;
D O I
暂无
中图分类号
TL [原子能技术]; O571 [原子核物理学];
学科分类号
0827 ; 082701 ;
摘要
X-ray dark-field imaging can provide insight into the small-angle scattering properties of the image objects. The grating interferometry can offer the attenuation contrast, phase contrast and small-angle scattering contrast simultaneously, in which the small-angle scattering contrast, i.e. the dark-field image, show unique and complementary information to the previously reported attenuation contrast and phase contrast imaging. Here, we report on a significant milestone in dark-field imaging: the X-ray dark-field tomography result of fresh biological samples, i.e. the fresh cherry tomato, with the grating interferometry. Significant advantages are provided by the dark-field tomography over the absorption-based imaging and the phase-contrast imaging in distinguishing the internal structures of the tomato. In consequence, the method provides a new way for nondestructive testing and diagnostic technology in medicine, biology and material science.
引用
收藏
页数:4
相关论文
共 50 条
  • [21] Recent advances in X-ray grating-based dark-field imaging
    Wang, Zhili
    TRAC-TRENDS IN ANALYTICAL CHEMISTRY, 2024, 181
  • [22] Reconstruction of scalar and vectorial components in X-ray dark-field tomography
    Bayer, Florian L.
    Hu, Shiyang
    Maier, Andreas
    Weber, Thomas
    Anton, Gisela
    Michel, Thilo
    Riess, Christian P.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2014, 111 (35) : 12699 - 12704
  • [23] Optimization of in vivo murine X-ray dark-field computed tomography
    Umkehrer, Stephan
    Birnbacher, Lorenz
    Burkhardt, Rico
    von Teuffenbach, Maximilian
    Yildirim, Ali Onder
    Pfeiffer, Daniela
    Herzen, Julia
    Pfeiffer, Franz
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2019, 90 (10):
  • [24] Comparison of Thermal Neutron and Hard X-ray Dark-Field Tomography
    Gustschin, Alex
    Neuwirth, Tobias
    Backs, Alexander
    Viermetz, Manuel
    Gustschin, Nikolai
    Schulz, Michael
    Pfeiffer, Franz
    JOURNAL OF IMAGING, 2021, 7 (01)
  • [25] Quantitative wave-optical numerical analysis of the dark-field signal in grating-based X-ray interferometry
    Malecki, A.
    Potdevin, G.
    Pfeiffer, F.
    EPL, 2012, 99 (04)
  • [26] Directional x-ray dark-field imaging
    Jensen, Torben H.
    Bech, Martin
    Bunk, Oliver
    Donath, Tilman
    David, Christian
    Feidenhans'i, Robert
    Pfeiffer, Franz
    PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (12): : 3317 - 3323
  • [27] Artifacts in X-ray dark-field measurements
    Horn, Florian
    Bayer, Florian
    Goedel, Karl
    Haas, Wilhelm
    Pelzer, Georg
    Rieger, Jens
    Ritter, Andre
    Weber, Thomas
    Zang, Andrea
    Durst, Juergen
    Michel, Thilo
    Anton, Gisela
    MEDICAL IMAGING 2013: PHYSICS OF MEDICAL IMAGING, 2013, 8668
  • [28] Dark-field hyperspectral X-ray imaging
    Egan, Christopher K.
    Jacques, Simon D. M.
    Connolley, Thomas
    Wilson, Matthew D.
    Veale, Matthew C.
    Seller, Paul
    Cernik, Robert J.
    PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2014, 470 (2165):
  • [29] X-ray dark-field imaging modeling
    Cong, W.
    Pfeiffer, F.
    Bech, M.
    Wang, G.
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2012, 29 (06) : 908 - 912
  • [30] TOWARDS QUANTIFICATION OF KIDNEY STONES USING X-RAY DARK-FIELD TOMOGRAPHY
    Hu, S.
    Yang, F.
    Griffa, M.
    Kaufmann, R.
    Anton, G.
    Maier, A.
    Riess, C.
    2017 IEEE 14TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2017), 2017, : 1112 - 1115