Evaluation of different heavy-metal stains and embedding media for phase contrast tomography of neuronal tissue

Marina Eckermann; Mareike Töpperwien; Torben Ruhwedel; Wiebke Möbius; Tim Salditt

doi:10.1117/12.2528432

27 September 2019 Evaluation of different heavy-metal stains and embedding media for phase contrast tomography of neuronal tissue

Marina Eckermann, Mareike Töpperwien, Torben Ruhwedel, Wiebke Möbius, Tim Salditt

Author Affiliations +

Proceedings Volume 11113, Developments in X-Ray Tomography XII; 111130N (2019) https://doi.org/10.1117/12.2528432
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

In the present work, we evaluate and compare the contrast and resolution obtained on different neuronal tissues with propagation-based x-ray phase contrast computed tomography (PB-CT). At our laboratory-based liquid metal-jet setup, we obtain overview datasets at sub-micron resolution of mm³ -sized volumes. In order to evaluate these parameters down to the sub-cellular level, we utilize the synchrotron endstation GINIX at P10, DESY. At this dedicated endstation1 developed and operated by our group, we utilize x-ray waveguide optics for highresolution cone-beam scans at strong geometrical magnification M. Exploiting this multi-scale approach, we investigate the image quality of cerebellum tissue treated by different heavy-metal stains. In addition, we study the electron density contrast in unstained tissues. Different embedding media are utilized depending on the stain, which also significantly affects contrast and image quality. With this work, we want to contribute to an optimized sample preparation to study the neuronal architecture of the brain tissue in greater detail in three dimensions (3d).

Citation Download Citation

Marina Eckermann, Mareike Töpperwien, Torben Ruhwedel, Wiebke Möbius, and Tim Salditt "Evaluation of different heavy-metal stains and embedding media for phase contrast tomography of neuronal tissue", Proc. SPIE 11113, Developments in X-Ray Tomography XII, 111130N (27 September 2019); https://doi.org/10.1117/12.2528432

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