Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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University College London

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024Alloying and oxidation of PdAu thin films3citations
  • 20233D-Imaging of synapses in neuronal tissues with synchrotron X-ray ptychography11citations
  • 2018The Role of Oxides in Catalytic CO Oxidation over Rhodium and Palladium83citations
  • 2017Structure of the SnO2(110)-(4 x 1) Surface28citations
  • 2017Structure of the SnO2(110)-(4 × 1) surface28citations
  • 2017Structure of the SnO2 (110)- (4×1) Surface28citations

Places of action

Chart of shared publication
Carlsson, Per-Anders
1 / 1 shared
Von Allmen, Kim
1 / 2 shared
Jacobse, Leon
1 / 1 shared
Edström, Helen
1 / 2 shared
Hagman, Benjamin
2 / 2 shared
Gustafson, Johan
5 / 17 shared
Zhang, Yuxin
1 / 3 shared
Guizar-Sicairos, Manuel
1 / 18 shared
Wanner, Adrian
1 / 1 shared
Pacureanu, Alexandra
1 / 1 shared
Cook, Phil K.
1 / 1 shared
Aeppli, Meret
1 / 1 shared
Bunk, Oliver
1 / 1 shared
Müller, Elisabeth
1 / 9 shared
Peddie, Christopher
1 / 1 shared
Aidukas, Tomas
1 / 1 shared
Bosch, Carles
1 / 1 shared
Holler, Mirko
1 / 17 shared
Menzel, Andreas
1 / 1 shared
Collinson, Lucy
1 / 1 shared
Diaz, Ana
1 / 20 shared
Crumlin, Ethan J.
1 / 2 shared
Merte, Lindsay R.
3 / 12 shared
Lundgren, Edvin
4 / 50 shared
Zhang, Chu
4 / 8 shared
Jankowski, Maciej
1 / 5 shared
Carlsson, Per Anders
1 / 1 shared
Martin, Natalia M.
1 / 6 shared
Shipilin, Mikhail
4 / 12 shared
Balmes, Olivier
1 / 5 shared
Nicklin, Chris
2 / 4 shared
Rawle, Jonathan
3 / 6 shared
Lindsay, Robert
3 / 15 shared
Hammer, Bjørk
2 / 3 shared
Pussi, Katariina
3 / 8 shared
Merte, Lr
1 / 1 shared
Jørgensen, Mathias S.
3 / 3 shared
Thornton, Geoff
2 / 6 shared
Nicklin, Christopher
1 / 2 shared
Hammer, Bjork
1 / 1 shared
Chart of publication period
2024
2023
2018
2017

Co-Authors (by relevance)

  • Carlsson, Per-Anders
  • Von Allmen, Kim
  • Jacobse, Leon
  • Edström, Helen
  • Hagman, Benjamin
  • Gustafson, Johan
  • Zhang, Yuxin
  • Guizar-Sicairos, Manuel
  • Wanner, Adrian
  • Pacureanu, Alexandra
  • Cook, Phil K.
  • Aeppli, Meret
  • Bunk, Oliver
  • Müller, Elisabeth
  • Peddie, Christopher
  • Aidukas, Tomas
  • Bosch, Carles
  • Holler, Mirko
  • Menzel, Andreas
  • Collinson, Lucy
  • Diaz, Ana
  • Crumlin, Ethan J.
  • Merte, Lindsay R.
  • Lundgren, Edvin
  • Zhang, Chu
  • Jankowski, Maciej
  • Carlsson, Per Anders
  • Martin, Natalia M.
  • Shipilin, Mikhail
  • Balmes, Olivier
  • Nicklin, Chris
  • Rawle, Jonathan
  • Lindsay, Robert
  • Hammer, Bjørk
  • Pussi, Katariina
  • Merte, Lr
  • Jørgensen, Mathias S.
  • Thornton, Geoff
  • Nicklin, Christopher
  • Hammer, Bjork
OrganizationsLocationPeople

document

3D-Imaging of synapses in neuronal tissues with synchrotron X-ray ptychography

  • Zhang, Yuxin
  • Guizar-Sicairos, Manuel
  • Schaefer, Andreas
  • Wanner, Adrian
  • Pacureanu, Alexandra
  • Cook, Phil K.
  • Aeppli, Meret
  • Bunk, Oliver
  • Müller, Elisabeth
  • Peddie, Christopher
  • Aidukas, Tomas
  • Bosch, Carles
  • Holler, Mirko
  • Menzel, Andreas
  • Collinson, Lucy
  • Diaz, Ana
Abstract

<jats:title>Abstract</jats:title><jats:p>Densely resolving subcellular features in biological tissue is key to understanding the structural basis of organ function. Electron microscopy provides the necessary resolution, yet - as electrons penetrate samples for only a few 100s of nm - requires physical sectioning or ablation. This provides a significant challenge when aiming to scale up anatomical investigations to entire organs such as mammalian brains. X-ray nanotomography has been suggested as a promising alternative for ultrastructural 3d imaging without physical sectioning(<jats:italic>1–15</jats:italic>). Leveraging the high brilliance of 4th generation synchrotron X-ray sources, it has the theoretical potential to non-destructively acquire mm³-sized samples at ultrastructural resolution within a few days(<jats:italic>16</jats:italic>). A fundamental barrier to the practical implementation has been that, when irradiated with high-intensity X-rays, biological samples deform and ultimately disintegrate, prohibiting reaching sufficient resolution. Here, we demonstrate that X-ray ptychography(<jats:italic>17</jats:italic>), a coherent diffractive X-ray imaging technique, can faithfully acquire 3-dimensional images of metal-stained mouse neuronal tissue. Achieving high imaging quality requires minimization of the radiation damage to the sample, which we achieve by imaging at cryogenic temperatures and using tailored non-rigid tomographic reconstruction algorithms(<jats:italic>18</jats:italic>). Adapting an epoxy resin developed for the nuclear and aerospace industry, we demonstrate radiation resistance to X-ray doses exceeding 10<jats:sup>10</jats:sup>Gy. Sub-40 nm isotropic resolution makes it possible to densely resolve axon bundles, boutons, dendrites and reliably identify synapses without physical sectioning. Moreover, the tissue volumes exposed to X-rays can subsequently be imaged in 3D using high-resolution focused ion beam scanning electron microscopy (FIB-SEM)(<jats:italic>19, 20</jats:italic>) showing intact ultrastructure and demonstrating that metal-stained neuronal tissue can be highly radiation-stable. Thus, our work removes the fundamental limitations to employing X-ray tomography for high-resolution tissue imaging. Ongoing improvements in synchrotron, X-ray and detector physics(<jats:italic>21</jats:italic>), as well as further optimization of sample preparation and staining procedures(<jats:italic>22–27</jats:italic>), could lead to substantial improvements in acquisition speed(<jats:italic>16</jats:italic>), whilst complementary X-ray techniques such as laminography(<jats:italic>28–31</jats:italic>) and nano-holotomography(<jats:italic>2, 32</jats:italic>) could allow for non-destructive X-ray imaging of synapses and neural circuits in volumes of increasing size.</jats:p>

Topics
  • impedance spectroscopy
  • scanning electron microscopy
  • tomography
  • focused ion beam
  • isotropic
  • resin
  • sectioning