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Nanoscale x-ray holotomography of human brain tissue with phase retrieval based on multienergy recordings

Authors :
Mareike Töpperwien
Tim Salditt
Christine Stadelmann-Nessler
Anna-Lena Robisch
Marina Eckermann
Franziska van der Meer
Source :
Journal of Medical Imaging, Journal of medical imaging 7(01), 013501 (1-13) (2020). doi:10.1117/1.JMI.7.1.013501
Publication Year :
2020
Publisher :
Society of Photo-Optical Instrumentation Engineers, 2020.

Abstract

X-ray cone-beam holotomography of unstained tissue from the human central nervous system reveals details down to subcellular length scales. This visualization of variations in the electron density of the sample is based on phase-contrast techniques using intensities formed by self-interference of the beam between object and detector. Phase retrieval inverts diffraction and overcomes the phase problem by constraints such as several measurements at different Fresnel numbers for a single projection. Therefore, the object-to-detector distance (defocus) can be varied. However, for cone-beam geometry, changing defocus changes magnification, which can be problematic in view of image processing and resolution. Alternatively, the photon energy can be altered (multi-E). Far from absorption edges, multi-E data yield the wavelength-independent electron density. We present the multi-E holotomography at the Göttingen Instrument for Nano-Imaging with X-Rays (GINIX) setup of the P10 beamline at Deutsches Elektronen-Synchrotron. The instrument is based on a combined optics of elliptical mirrors and an x-ray waveguide positioned in the focal plane for further coherence, spatial filtering, and high numerical aperture. Previous results showed the suitability of this instrument for nanoscale tomography of unstained brain tissue. We demonstrate that upon energy variation, the focal spot is stable enough for imaging. To this end, a double-crystal monochromator and automated alignment routines are required. Three tomograms of human brain tissue were recorded and jointly analyzed using phase retrieval based on the contrast transfer function formalism generalized to multiple photon energies. Variations of the electron density of the sample are successfully reconstructed.

Details

Language :
English
ISSN :
23294310 and 23294302
Volume :
7
Issue :
1
Database :
OpenAIRE
Journal :
Journal of Medical Imaging
Accession number :
edsair.doi.dedup.....5d77ef06c83f7d72873e60ac7b2af908