Literature DB >> 31625022

Three-dimensional reconstruction of Picea wilsonii Mast. pollen grains using automated electron microscopy.

Weiwei Shen1,2, Lingyu Ma1,2, Xi Zhang1,2, Xixia Li3, Yuanyuan Zhao1,2, Yanping Jing4,5, Yun Feng3, Xueke Tan3, Fei Sun3, Jinxing Lin6,7.   

Abstract

Three-dimensional electron microscopy (3D-EM) has attracted considerable attention because of its ability to provide detailed information with respect to developmental analysis. However, large-scale high-resolution 3D reconstruction of biological samples remains challenging. Herein, we present a 3D view of a Picea wilsonii Mast. pollen grain with 100 nm axial and 38.57 nm lateral resolution using AutoCUTS-SEM (automatic collector of ultrathin sections-scanning electron microscopy). We established a library of 3,127 100 nm thick serial sections of pollen grains for preservation and observation, demonstrating that the protocol can be used to analyze large-volume samples. After obtaining the SEM images, we reconstructed an entire pollen grain comprising 734 serial sections. The images produced by 3D reconstruction clearly revealed the main components of the P. wilsonii pollen grain, i.e., two sacci and pollen corpus, tube cell, generative cell, and two degenerated prothallial cells, and their internal organization. In addition, we performed a quantitative analysis of the different pollen grain cells, including sacci, and found that there were 202 connections within a saccus SEM image. Thus, for the first time, this study provided a global 3D view of the entire pollen grain, which will be useful for analyzing pollen development and growth.

Entities:  

Keywords:  3D reconstruction; AutoCUTS-SEM; electron microscopy; pollen

Year:  2019        PMID: 31625022     DOI: 10.1007/s11427-019-9820-4

Source DB:  PubMed          Journal:  Sci China Life Sci        ISSN: 1674-7305            Impact factor:   6.038


  4 in total

1.  High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants.

Authors:  Xi Zhang; Zijian Hu; Yayu Guo; Xiaoyi Shan; Xiaojuan Li; Jinxing Lin
Journal:  Plant Methods       Date:  2020-07-28       Impact factor: 4.993

2.  Environmental Cues Contribute to Dynamic Plasma Membrane Organization of Nanodomains Containing Flotillin-1 and Hypersensitive Induced Reaction-1 Proteins in Arabidopsis thaliana.

Authors:  Changwen Xu; Sammar Abbas; Hongping Qian; Meng Yu; Xi Zhang; Xiaojuan Li; Yaning Cui; Jinxing Lin
Journal:  Front Plant Sci       Date:  2022-05-10       Impact factor: 6.627

Review 3.  Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques.

Authors:  Xi Zhang; Yi Man; Xiaohong Zhuang; Jinbo Shen; Yi Zhang; Yaning Cui; Meng Yu; Jingjing Xing; Guangchao Wang; Na Lian; Zijian Hu; Lingyu Ma; Weiwei Shen; Shunyao Yang; Huimin Xu; Jiahui Bian; Yanping Jing; Xiaojuan Li; Ruili Li; Tonglin Mao; Yuling Jiao; Haiyun Ren; Jinxing Lin
Journal:  Sci China Life Sci       Date:  2021-03-12       Impact factor: 6.038

4.  Cellular 3D-reconstruction and analysis in the human cerebral cortex using automatic serial sections.

Authors:  Fei Sun; Jens R Nyengaard; Nick Y Larsen; Xixia Li; Xueke Tan; Gang Ji; Jing Lin; Grazyna Rajkowska; Jesper Møller; Ninna Vihrs; Jon Sporring
Journal:  Commun Biol       Date:  2021-09-02
  4 in total

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