3 articles published in JoVE
Sample Preparation Method of Scanning and Transmission Electron Microscope for the Appendages of Woodboring Beetle Yan-Ru Zhang1,2, Hai-Li Qiao3, Li-Li Ren1, Rong Wang4, Peng-Fei Lu1 1The Key Laboratory for Silviculture and Conservation of the Ministry of Education, School of Forestry, Beijing Forestry University, 2School of Forestry, Inner Mongolia Agricultural University, 3Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, 4School of Forestry, Fujian Agriculture and Forestry University In order to observe ultrastructure of insect sensilla, scanning and transmission electron microscopy (SEM and TEM, respectively) sample preparation protocol were presented in the study. Tween 20 was added into the fixative to avoid sample deformation in SEM. Fluorescence microscopy was helpful for improving slicing accuracy in TEM.
Assessing the Particulate Matter Removal Abilities of Tree Leaves Jinqiang Liu*1, Ruina Zhang*1, Huanhuan Liu1, Jie Duan1, Jia Kang1, Zemin Guo1, Benye Xi1, Zhiguo Cao2 1Key Laboratory of Silviculture and Conservation of Ministry of Education, Beijing Forestry University, 2School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Key Laboratory for Environmental Pollution Control, Henan Normal University The ultrasonic cleaning method was applied to elute the particulate matter (PM) retained on leaf surfaces after PM was eluted by the conventional cleaning methods (water cleaning only or water cleaning plus brush cleaning). The methodology can help to improve the estimation accuracy for PM retention capacity of leaves.
Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall Xun Zhang1, Sheng Chen1, Feng Xu1 1Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University This protocol aims to present a general method to visualize lignin, cellulose, and hemicellulose in plant cell walls using Raman imaging and multivariate analysis.