Sample preparation utilizing sputter coating increases contrast of cellulose nanocrystals in the transmission electron microscope.

IF 1.5 4区 工程技术 Q3 MICROSCOPY Microscopy Pub Date : 2019-11-06 DOI:10.1093/jmicro/dfz032
Marina R. Mulenos, B. Zechmann, C. Sayes
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Abstract

Cellulose nanocrystals (CNCs) are prepared for transmission electron microscopy (TEM) using positive or negative stains in an effort to increase the contrast between the specimen and background. When imaging CNCs, conventional stains have been shown to induce particle aggregation and produce artifacts. In this study, we report on methods used to image CNCs. To increase contrast and decrease artifacts and aggregation, sputter coating was used to coat the samples. CNCs were loaded onto copper grids and sputter coated with one of four different metals: iridium, carbon, gold, and titanium. The final layer was deposited at 5 nm to ensure surface homogeneity. The thin layer of conductive metal atoms deposited onto the specimen surface significantly increased contrast and improved image quality. The results presented here demonstrate the advantages of using sputter coating for imaging of highly crystalline cellulose materials with TEM.
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利用溅射涂层制备样品增加了纤维素纳米晶体在透射电子显微镜下的对比度。
纤维素纳米晶体(cnc)制备用于透射电子显微镜(TEM),使用阳性或阴性染色,以增加样品和背景之间的对比度。当对cnc成像时,传统的染色剂已被证明会诱导颗粒聚集并产生伪影。在这项研究中,我们报告了用于成像cnc的方法。为了提高对比度,减少伪影和聚集,采用溅射涂层对样品进行涂层处理。cnc被装载到铜网格和溅射板上,溅射板上涂有四种不同的金属:铱、碳、金和钛。最后一层在5 nm处沉积,以确保表面均匀性。薄层导电金属原子沉积在试样表面显著增加对比度和改善图像质量。本文的研究结果证明了用溅射涂层对高结晶纤维素材料进行透射电镜成像的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microscopy
Microscopy Physics and Astronomy-Instrumentation
CiteScore
3.30
自引率
11.10%
发文量
76
期刊介绍: Microscopy, previously Journal of Electron Microscopy, promotes research combined with any type of microscopy techniques, applied in life and material sciences. Microscopy is the official journal of the Japanese Society of Microscopy.
期刊最新文献
In This Issue Real-time scanning electron microscopy of unfixed tissue in the solution using a deformable and electron-transmissive film Atomic-Resolution STEM Image Denoising by Total Variation Regularization. Super-Resolution Reconstruction Based on BM3D and Compressed Sensing. Reliable Electrochemical Setup for in situ Observations with an Atmospheric SEM.
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