Phase-contrast tomography of neuronal tissues: from laboratory- to high resolution synchrotron CT

Töpperwien, Mareike; Krenkel, Martin; Müller, Kristin; Salditt, Tim

doi:10.1117/12.2238496

Cited by 21 publications

(17 citation statements)

References 35 publications

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“…Figure 4 shows the reconstruction of an Epon embedded Golgi-Cox stained brain slice of the Hippocampus of a wildtype mouse. 33 The measurements have been carried out at the GINIX-experiment using a crossed waveguide with guiding layer thickness of 81 nm at a photon energy of 13.8 keV. sharp features the number of tomographic projections is not sufficient and gives rise to the streak artefacts.…”

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confidence: 99%

Phase retrieval for near-field X-ray imaging beyond linearisation or compact support

Hagemann

Töpperwien

Salditt

2018

Applied Physics Letters

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X-ray phase contrast imaging based on free space propagation relies on phase retrieval to obtain sharp images of micro- and nanoscale objects, with widespread applications in material science and biomedical research. For high resolution synchrotron experiments, phase retrieval is largely based on the single step reconstruction using the contrast transfer function approach (CTF), as introduced almost twenty years ago [Cloetens et al., Appl. Phys. Lett. 75, 2912 (1999)]. Notwithstanding its tremendous merits, this scheme makes stringent assumptions on the optical properties of the object, requiring, in particular, a weakly varying phase. In this work, we show how significant the loss in image quality becomes if these assumption are violated, and how phase retrieval can be easily improved by a simple scheme of alternating projections. Importantly, the approach demonstrated here uses the same input data and constraint sets as the conventional CTF-based phase retrieval, and is particularly well suited for the holographic regime.

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confidence: 99%

Phase retrieval for near-field X-ray imaging beyond linearisation or compact support

Hagemann

Töpperwien

Salditt

2018

Applied Physics Letters

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“…On the other hand, physical sectioning allows a wider variety of dying techniques for tissue recognition, but the plan is determined by the orientation of the sample; thus, also the z-axis possesses a different (usually lower) resolution partial coherence of laboratory sources, so that, subsequently, a translation from SR-based phase-contrast CT (SR-PhC-μCT) to advanced μ-CT instrumentation was possible. The instrumental prerequisites and different geometries and phase retrieval approaches have been discussed and compared elsewhere (Bartels et al, 2013;Krenkel et al, 2015;Töpperwien, Krenkel, Müller, & Salditt, 2016;Töpperwien et al, 2017), in particular the adaptation of phase retrieval for the nonideal conditions of laboratory μ-CT (Bartels et al, 2013;Krenkel et al, 2015;Töpperwien et al, 2017).…”

Section: X-r Ay-ba S Ed Computed Tomog R Aphy ( X-r Ay C T and μ-C T )mentioning

confidence: 99%

X‐ray computed tomography and its potential in ecological research: A review of studies and optimization of specimen preparation

Gutiérrez

Ott

Töpperwien

et al. 2018

Ecology and Evolution

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Imaging techniques are a cornerstone of contemporary biology. Over the last decades, advances in microscale imaging techniques have allowed fascinating new insights into cell and tissue morphology and internal anatomy of organisms across kingdoms. However, most studies so far provided snapshots of given reference taxa, describing organs and tissues under “idealized” conditions. Surprisingly, there is an almost complete lack of studies investigating how an organism′s internal morphology changes in response to environmental drivers. Consequently, ecology as a scientific discipline has so far almost neglected the possibilities arising from modern microscale imaging techniques. Here, we provide an overview of recent developments of X‐ray computed tomography as an affordable, simple method of high spatial resolution, allowing insights into three‐dimensional anatomy both in vivo and ex vivo. We review ecological studies using this technique to investigate the three‐dimensional internal structure of organisms. In addition, we provide practical comparisons between different preparation techniques for maximum contrast and tissue differentiation. In particular, we consider the novel modality of phase contrast by self‐interference of the X‐ray wave behind an object (i.e., phase contrast by free space propagation). Using the cricket Acheta domesticus (L.) as model organism, we found that the combination of FAE fixative and iodine staining provided the best results across different tissues. The drying technique also affected contrast and prevented artifacts in specific cases. Overall, we found that for the interests of ecological studies, X‐ray computed tomography is useful when the tissue or structure of interest has sufficient contrast that allows for an automatic or semiautomatic segmentation. In particular, we show that reconstruction schemes which exploit phase contrast can yield enhanced image quality. Combined with suitable specimen preparation and automated analysis, X‐ray CT can therefore become a promising quantitative 3D imaging technique to study organisms′ responses to environmental drivers, in both ecology and evolution.

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“…The data presented in this section is published in [165] and the presented figures are based on those from the paper.…”

Section: Golgi-cox Stained Mouse Hippocampusmentioning

confidence: 99%

Phase-contrast tomography of neuronal tissues: from laboratory- to high resolution synchrotron CT

Cited by 21 publications

References 35 publications

Phase retrieval for near-field X-ray imaging beyond linearisation or compact support

Phase retrieval for near-field X-ray imaging beyond linearisation or compact support

X‐ray computed tomography and its potential in ecological research: A review of studies and optimization of specimen preparation

3d virtual histology of neuronal tissue by propagation-based x-ray phase-contrast tomography

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