Part-based data-driven 3D shape interpolation

2021 ◽  
Vol 136 ◽  
pp. 103027
Author(s):  
Melike Aydınlılar ◽  
Yusuf Sahillioğlu
2017 ◽  
Vol 36 (7) ◽  
pp. 157-166 ◽  
Author(s):  
Fei Wang ◽  
Shujin Lin ◽  
Xiaonan Luo ◽  
Hefeng Wu ◽  
Ruomei Wang ◽  
...  

2017 ◽  
Vol 17 (10) ◽  
pp. 405
Author(s):  
Sven Eberhardt ◽  
Daniel Schiebler ◽  
Drew Linsley ◽  
Thomas Serre

2010 ◽  
Author(s):  
Yongjian Xi
Keyword(s):  

2018 ◽  
Vol 38 (1) ◽  
pp. 356-393 ◽  
Author(s):  
R. Rostami ◽  
F. S. Bashiri ◽  
B. Rostami ◽  
Z. Yu

2016 ◽  
Vol 36 (8) ◽  
pp. 19-31 ◽  
Author(s):  
Lin Gao ◽  
Shu-Yu Chen ◽  
Yu-Kun Lai ◽  
Shihong Xia

Author(s):  
C.L. Woodcock

Despite the potential of the technique, electron tomography has yet to be widely used by biologists. This is in part related to the rather daunting list of equipment and expertise that are required. Thanks to continuing advances in theory and instrumentation, tomography is now more feasible for the non-specialist. One barrier that has essentially disappeared is the expense of computational resources. In view of this progress, it is time to give more attention to practical issues that need to be considered when embarking on a tomographic project. The following recommendations and comments are derived from experience gained during two long-term collaborative projects.Tomographic reconstruction results in a three dimensional description of an individual EM specimen, most commonly a section, and is therefore applicable to problems in which ultrastructural details within the thickness of the specimen are obscured in single micrographs. Information that can be recovered using tomography includes the 3D shape of particles, and the arrangement and dispostion of overlapping fibrous and membranous structures.


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