Quantitative analysis of 3D cellular geometry and modelling of the Arabidopsis embryo

被引:0
作者
Yoshida, Saiko [1 ]
Weijers, Dolf [2 ]
机构
[1] Max Planck Inst Plant Breeding Res, Dept Comparat Dev & Genet, Carl von Linne Weg 10, D-50829 Cologne, Germany
[2] Wageningen Univ, Biochem Lab, Stippeneng 4, NL-6708 WE Wageningen, Netherlands
基金
欧洲研究理事会;
关键词
computational modelling; quantitative image analysis; imaging; plant embryogenesis; PLANT DEVELOPMENT; DIVISION; CYTOSKELETON;
D O I
10.1111/jmi.13130
中图分类号
TH742 [显微镜];
学科分类号
摘要
As many multicellular organisms, land plants start their life as a single cell, which forms an embryo. Embryo morphology is relatively simple, yet comprises basic tissues and organs, as well as stem cells that sustain post-embryonic development. Being condensed in both time and space, early plant embryogenesis offers an excellent window to study general principles of plant development. However, it has been technically challenging to obtain high spatial microscopic resolution, or to perform live imaging, that would enable an in-depth investigation. Recent advances in sample preparation and microscopy now allow studying the detailed cellular morphology of plant embryos in 3D. When coupled to quantitative image analysis and computational modelling, this allows resolving the temporal and spatial interactions between cellular patterning and genetic networks. In this review, we discuss examples of interdisciplinary studies that showcase the potential of the early plant embryo for revealing principles underlying plant development.
引用
收藏
页码:107 / 113
页数:7
相关论文
共 50 条
  • [41] 3D modeling and comparative analysis of the double arcus aorta case
    Avnioglu, Seda
    Dikici, Rumeysa
    Etli, Mustafa
    INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 2022, 38 (10) : 2263 - 2268
  • [42] 2 and 3D TOF-SIMS Imaging for Biological Analysis
    Fletcher, John S.
    DETECTION OF BIOLOGICAL AGENTS FOR THE PREVENTION OF BIOTERRORISM, 2010, : 285 - 299
  • [43] Borehole seismic quantitative diagnosis of a seismic velocity model for 3D seismic imaging of subsurface structures
    Li, Yingping
    Hewett, Ben
    GEOPHYSICAL PROSPECTING, 2014, 62 (04) : 719 - 739
  • [44] The effects of 3D channel geometry on CTC passing pressure - towards deformability-based cancer cell separation
    Zhang, Zhifeng
    Xu, Jie
    Hong, Bin
    Chen, Xiaolin
    LAB ON A CHIP, 2014, 14 (14) : 2576 - 2584
  • [45] Palatal symmetry analysis of surgical protocols for oral clefts by 3D stereophotogrammetry
    Bergamo, Mariel Tavares Oliveira Prado
    Ambrosio, Eloa Cristina Passucci
    Carrara, Cleide Felicio de Carvalho
    Machado, Maria Aparecida Andrade Moreira
    Oliveira, Thais Marchini
    ODONTOLOGY, 2025,
  • [46] A Novel Filtering Approach for 3D Harmonic Phase Analysis of Tagged MRI
    Wang, Xiaokai
    Stone, Maureen L.
    Prince, Jerry L.
    Gomez, Arnold D.
    MEDICAL IMAGING 2018: IMAGE PROCESSING, 2018, 10574
  • [47] A new time-of-flight SIMS instrument for 3D imaging and analysis
    Hill, Rowland
    Blenkinsopp, Paul
    Thompson, Stephen
    Vickerman, John
    Fletcher, John S.
    SURFACE AND INTERFACE ANALYSIS, 2011, 43 (1-2) : 506 - 509
  • [48] 3D Image Generation From Single Image Using Color Filtered Aperture and 2.1D Sketch-A Computational 3D Imaging System and Qualitative Analysis
    Deshpande, Rashmi R.
    Madhavi, Ch Renu
    Bhatt, Mahabaleswara Ram
    IEEE ACCESS, 2021, 9 : 93580 - 93592
  • [49] Generating 3D anatomically detailed models of the retina from OCT data sets: implications for computational modelling
    Shalbaf, Farzaneh
    Dokos, Socrates
    Lovell, Nigel H.
    Turuwhenua, Jason
    Vaghefi, Ehsan
    JOURNAL OF MODERN OPTICS, 2015, 62 (21) : 1789 - 1800
  • [50] Assessment of pulmonary drug delivery in ex vivo mouse lungs using quantitative 3D fluorescence imaging
    Moller, Winfried
    Srivastava, Richa
    Worle, Veronika
    Eickelberg, Oliver
    Schmid, Otmar
    EUROPEAN RESPIRATORY JOURNAL, 2014, 44