Yang Rui, Wang Shuai, Wang Jianli, Luo Xi, Zhao Wenchao, Zhang Qing, Nan Zhangjie, Yang Liu, Wang Shaohui
Department of Forestry and Horticulture, Xinjiang Agricultural University, No.311 NongDa Dong Road, Urumqi, 830052, Xinjiang, China.
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Microsc Res Tech. 2017 Jun;80(6):570-577. doi: 10.1002/jemt.22832. Epub 2017 Feb 8.
The ultrastructure of a sample can be observed by electron microscopy (EM), which has become an indispensable research tool in morphological studies. However, EM sample preparation techniques are complicated and time-consuming, with a high labor cost. The current study was conducted to compare the conventional manual and automated methods for sample processing and post-staining for electron microscopy. Automated sample processing reduces OsO contamination, improves the efficiency of sample preparation and is easy to use. Therefore, the results of their study provide a practical and feasible method for the preparation of biological samples for electron microscopy.
样品的超微结构可通过电子显微镜(EM)进行观察,电子显微镜已成为形态学研究中不可或缺的研究工具。然而,EM样品制备技术复杂且耗时,人工成本高。本研究旨在比较传统的手动和自动方法用于电子显微镜样品处理和染色后的效果。自动样品处理减少了锇污染,提高了样品制备效率且易于使用。因此,他们的研究结果为电子显微镜生物样品的制备提供了一种切实可行的方法。