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“Phase Contrast X-ray
Tomography of Biological Tissues:
How can 3d virtual
Histology help to fight Covid-19?"
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Date: |
Download-files: |
Time: |
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Thursday, 05 Nov 2020 |
Video-Recording for any system with MP4-support
- Video.mp4 (ca.455 Mb) - Video_with_eng_sub.mp4 (ca. 449 Mb) |
15:15 – 16:15
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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)