Suppr超能文献

直接探测电子能量损失谱学:一种提高分辨率和灵敏度的方法。

Direct Detection Electron Energy-Loss Spectroscopy: A Method to Push the Limits of Resolution and Sensitivity.

机构信息

Department of Materials Science and Engineering, Drexel University, Philadelphia, Pennsylvania, 19104, USA.

Analytical Projects R&D Gatan, Pleasanton, California, 94566, USA.

出版信息

Sci Rep. 2017 Aug 15;7(1):8243. doi: 10.1038/s41598-017-07709-4.

Abstract

In many cases, electron counting with direct detection sensors offers improved resolution, lower noise, and higher pixel density compared to conventional, indirect detection sensors for electron microscopy applications. Direct detection technology has previously been utilized, with great success, for imaging and diffraction, but potential advantages for spectroscopy remain unexplored. Here we compare the performance of a direct detection sensor operated in counting mode and an indirect detection sensor (scintillator/fiber-optic/CCD) for electron energy-loss spectroscopy. Clear improvements in measured detective quantum efficiency and combined energy resolution/energy field-of-view are offered by counting mode direct detection, showing promise for efficient spectrum imaging, low-dose mapping of beam-sensitive specimens, trace element analysis, and time-resolved spectroscopy. Despite the limited counting rate imposed by the readout electronics, we show that both core-loss and low-loss spectral acquisition are practical. These developments will benefit biologists, chemists, physicists, and materials scientists alike.

摘要

在许多情况下,与传统的间接检测传感器相比,电子计数直接检测传感器可为电子显微镜应用提供更高的分辨率、更低的噪声和更高的像素密度。直接检测技术以前曾成功地用于成像和衍射,但光谱学的潜在优势仍未得到探索。在这里,我们比较了在计数模式下运行的直接检测传感器和间接检测传感器(闪烁体/光纤/CCD)在电子能量损失光谱学中的性能。计数模式直接检测提供了测量量子探测效率和组合能量分辨率/能量视场的明显改善,为高效光谱成像、对束敏感样品的低剂量映射、微量元素分析和时间分辨光谱学提供了前景。尽管读出电子设备限制了计数率,但我们表明核心损耗和低损耗光谱采集都是可行的。这些发展将使生物学家、化学家、物理学家和材料科学家受益。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0efa/5557959/af21bbfac98a/41598_2017_7709_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