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                  “Phase Contrast X-ray Tomography of Biological Tissues:

                       How can 3d virtual Histology help to fight Covid-19?"

 

        Date:

    Download-files:

      Time:

  Thursday, 05 Nov 2020

    Video-Recording for any system with MP4-support

   - Video.mp4  (ca.455 Mb)

 

 15:15 – 16:15

 

 

Abstract:

 

X-rays can deeply penetrate matter and thus provide information about materials

or biological matter in 3d and at high resolution.  Until recently, however, this

potential of hard x-rays in view of penetration, spatial resolution, contrast, and

compatibility with environmental conditions was not fully exploited due to the

limitations of x-ray focusing optics and phase retrieval methods.  With the advent

of partially coherent radiation, efficient phase retrieval algorithms and the perfection

of focusing optics, the situation has changed. We show how these develoments work

hand-in-hand  towards full field imaging and multi-scale tomography of functional

3d structures. We explain how the central challenge of inverting the coherent

diffraction pattern can be mastered by iterative reconstruction algorithms in the

optical near-field [1].  Finally, we present biomedical applications, including 3d virtual

histology of human brain tissue [2], and most timely : 3d histopathology of lung

associated by severe progression of Covid-19 [3].

 

[1] M. Bartels, M. Krenkel, J. Habe, R.N. Wilke, T. Salditt, X-Ray Holographic Imaging of Hydrated Biological Cells in Solution,  Phys. Rev. Lett. 114, 048103 (2015).  [2] M. Töpperwien, F. Van der Meer, C. Stadelmann, and T. Salditt Three-dimensional virtual histology of human cerebellum by X-ray phase-contrast tomography, Proceedings of the National Academy of Sciences (2018), 201801678        [3] M. Eckermann, J. Frohn, M. Reichardt, M. Osterhoff, M. Sprung, F. Westermeier, A.Tzankov, C. Werlein, M. Kuehnel, D. Jonigk and T. Salditt 3d Virtual Patho-Histology of Lung Tissue from Covid-19 Patients based on Phase Contrast X-ray Tomography  eLife 2020;9:e60408 doi: 10.7554/eLife.60408 (2020)

 

Speaker today:    Tim Salditt  (University Göttingen)

 

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