Comparison of manual and automatic processing of biological samples for electron microscopy.
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 OsO4contamination, 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.
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.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Rui
R
Yang
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Shuai
S
Wang
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Jianli
J
Wang
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Xi
X
Luo
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Wenchao
W
Zhao
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Qing
Q
Zhang
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Zhangjie
Z
Nan
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.
Liu
L
Yang
Beijing Key Laboratory for Agricultural Application and New Technique, College of Plant Science and Technology, Beijing University of Agriculture, Beijing, 102206, China.|College of Plant Science and Technology, Beijing University of Agriculture, No.7 Beinong Road, Changping District, Beijing, 102206, China.
Shaohui
http://orcid.org/0000-0001-7808-5401
S
Wang
D008855:Microscopy, Electron, Scanning / Q000379:methods*; D046529:Microscopy, Electron, Transmission / Q000379:methods*; D013048:Specimen Handling / Q000379:methods*; D013194:Staining and Labeling / Q000379:methods*
SEM; TEM; automation; sample preparation