Fully automatic and robust 3D registration of serial-section microscopic images

Robust and fully automatic 3D registration of serial-section microscopic images is critical for detailed anatomical reconstruction of large biological specimens, such as reconstructions of dense neuronal tissues or 3D histology reconstruction to gain new structural insights. However, robust and full...

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Bibliographic Details
Published in:Scientific reports 2015-10, Vol.5 (1), p.15051-15051, Article 15051
Main Authors: Wang, Ching-Wei, Budiman Gosno, Eric, Li, Yen-Sheng
Format: Article
Language:English
Subjects:
14/19
14/28
14/63
631/114/1564
631/114/2401
631/114/794
Algorithms
Animals
Brain - anatomy & histology
Brain - ultrastructure
Drosophila - anatomy & histology
Drosophila - ultrastructure
Humanities and Social Sciences
Image processing
Image Processing, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Insects
Kidneys
Microscopy, Confocal - methods
Microscopy, Electron, Transmission - methods
Models, Anatomic
multidisciplinary
Registration
Science
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Summary:Robust and fully automatic 3D registration of serial-section microscopic images is critical for detailed anatomical reconstruction of large biological specimens, such as reconstructions of dense neuronal tissues or 3D histology reconstruction to gain new structural insights. However, robust and fully automatic 3D image registration for biological data is difficult due to complex deformations, unbalanced staining and variations on data appearance. This study presents a fully automatic and robust 3D registration technique for microscopic image reconstruction and we demonstrate our method on two ssTEM datasets of drosophila brain neural tissues, serial confocal laser scanning microscopic images of a drosophila brain, serial histopathological images of renal cortical tissues and a synthetic test case. The results show that the presented fully automatic method is promising to reassemble continuous volumes and minimize artificial deformations for all data and outperforms four state-of-the-art 3D registration techniques to consistently produce solid 3D reconstructed anatomies with less discontinuities and deformations.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep15051