ArticleJournal of anatomy2019
Surface contrast enhancement of integumentary structures in X-ray tomography.
Article in Journal of anatomy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 6 citations in OpenAlex.
- A microscopic study on scattering in tissue section ofJournal of biosciences · 2021Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Micro-computed tomography (μCT) has become standard in the biological sciences to reconstruct, display and analyse 3D models of all kinds of organisms. However, it is often impossible to capture fine details of the surface and the internal anatomy at the same time with sufficient contrast. Here we introduce a new approach for the selective contrast-enhancement of integumentary surface structures. The method relies on conventional and readily available sputter coaters to cover the entire sample with a thin layer of gold atoms. This approach proved successful on a diverse array of plants and animals. On average, we achieved a 14.48-fold gain of surface contrast (ranging from 2.42-fold to 86.93-fold) compared with untreated specimens. Even X-ray-transparent samples such as spider silk became accessible via μCT. This selective contrast-enhancement, makes it possible to digitally reconstruct fine surface structures with low absorbance while the tissue-dependent grey value resolution of the inner anatomy is maintained and remains fully visualisable. The methodology is suited for a broad scientific application across biology and other sciences employing (μ)CT, as well as educative and public outreach purposes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.