Suppr超能文献

超白甲虫 Lepidiota stigma 和 Cyphochilus 的完整鳞片的 X 射线纳米断层扫描

X-ray nano-tomography of complete scales from the ultra-white beetles Lepidiota stigma and Cyphochilus.

机构信息

Department of Physics and Astronomy, The University of Sheffield, Sheffield, S3 7RH, UK.

ISIS Pulsed Neutron and Muon Source, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, OX11 0QX, UK.

出版信息

Sci Data. 2020 May 29;7(1):163. doi: 10.1038/s41597-020-0502-y.

Abstract

High resolution X-ray nano-tomography experiments are often limited to a few tens of micrometer size volumes due to detector size. It is possible, through the use of multiple overlapping tomography scans, to produce a large area scan which can encompass a sample in its entirety. Mounting and positioning regions to be scanned is highly challenging and normally requires focused ion beam approaches. In this work we have imaged intact beetle scale cells mounted on the tip of a needle using a micromanipulator stage. Here we show X-ray holotomography data for single ultra-white scales from the beetles Lepidiota stigma (L. stigma) and Cyphochilus which exhibit the most effective scattering of white light in the literature. The final thresholded matrices represent a scan area of 25 × 70 × 362.5 µm and 25 × 67.5 × 235µm while maintaining a pixel resolution of 25 nm. This tomographic approach allowed the internal structure of the scales to be captured completely intact and undistorted by the sectioning required for traditional microscopy techniques.

摘要

由于探测器尺寸的限制,高分辨率 X 射线纳米断层扫描实验通常局限于几十微米大小的体积。通过使用多个重叠的断层扫描,可以生成一个可以完全包含样本的大面积扫描。扫描区域的安装和定位极具挑战性,通常需要采用聚焦离子束方法。在这项工作中,我们使用微操纵器台对针尖上的完整甲虫鳞片细胞进行了成像。这里我们展示了来自甲虫 Lepidiota stigma(L. stigma)和 Cyphochilus 的单个超白鳞片的 X 射线全断层扫描数据,这些鳞片在文献中表现出最有效的白光散射。最终的阈值矩阵代表了 25×70×362.5μm 和 25×67.5×235μm 的扫描区域,同时保持 25nm 的像素分辨率。这种断层扫描方法允许完整地捕获鳞片的内部结构,而不会像传统显微镜技术那样因切片而扭曲。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8bdb/7260169/36fe4ae2313f/41597_2020_502_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验