Three-Dimensional Histology of Whole Zebrafish by Sub-Micron Synchrotron X-ray Micro-Tomography
| Autor: | Keith C. Cheng, Spencer R Katz, Francesco De Carlo, Phillip Vargas, Alex Y. Lin, Yuxin Wang, Patrick J. La Riviere, Xuying Xin, Khai C. Ang, Darin P. Clark, Jean E. Copper, Yifu Ding, Victor A. Canfield, Daniel J. Vanselow, Xianghui Xiao, Damian B. van Rossum, Maksim A Yakovlev |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0303 health sciences
Tissue architecture biology Histology Micro tomography biology.organism_classification Synchrotron law.invention 03 medical and health sciences 0302 clinical medicine law Quantitative assessment Zebrafish 030217 neurology & neurosurgery 030304 developmental biology Biomedical engineering |
| DOI: | 10.1101/392381 |
| Popis: | Histological studies providing cellular insights into tissue architecture have been central to biological discovery and remain clinically invaluable today. Extending histology to three dimensions would be transformational for research and diagnostics. However, three-dimensional histology is impractical using current techniques. We have customized sample preparation, synchrotron X-ray tomographic parameters, and three-dimensional image analysis to allow for complete histological phenotyping using whole larval and juvenile zebrafish. The resulting digital zebrafish can be virtually sectioned and visualized in any plane. Whole-animal reconstructions at subcellular resolution also enable computational characterization of the zebrafish nervous system by region-specific detection of cell nuclei and quantitative assessment of individual phenotypic variation. Three-dimensional histological phenotyping has potential use in genetic and chemical screens, and in clinical and toxicological tissue diagnostics.One Sentence SummarySynchrotron X-ray micro-tomography can be used to rapidly create 3-dimensional images of fixed and stained specimens without sectioning, enabling computational histological phenotyping at cellular resolution. |
| Databáze: | OpenAIRE |
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