Visualization and quantitation of spine deformity in zebrafish models of scoliosis by micro-computed tomography.
Visualization and quantitation of spine deformity in zebrafish models of scoliosis by micro-computed tomography.
复制标题
显微计算机断层扫描对斑马鱼脊柱侧凸模型脊柱畸形的可视化和定量研究。
DOI:
10.1016/j.xpro.2023.102739
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发表时间:
2023-12-15
期刊:
影响因子:
--
通讯作者:
Grimes DT
中科院分区:
文献类型:
--
作者:
Bearce EA;Ricamona BTB;Fisher KH;O'Hara-Smith JR;Grimes DT
Zebrafish (Danio rerio) are increasingly used to investigate spine development, growth, and for studying the etiology of spinal deformity, such as scoliosis. Here, we present a micro-computed tomography-based pipeline for visualizing the zebrafish skeleton. We describe steps for sample preparation, imaging, data management, and processing. We then detail analysis of vertebral and spine morphology using open-source software. This protocol will be useful for scientists using zebrafish to understand spine development and disease. For complete details on the use and execution of this protocol, please refer to Bearce et al. (2022). Guidance for micro-computed tomography scanning of fixed adult zebrafish Step-by-step guide for manual segmentation of skeletal structures with 3D Slicer Taking basic measurements and Cobb angles for spine morphometrics Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Zebrafish (Danio rerio) are increasingly used to investigate spine development, growth, and for studying the etiology of spinal deformity, such as scoliosis. Here, we present a micro-computed tomography-based pipeline for visualizing the zebrafish skeleton. We describe steps for sample preparation, imaging, data management, and processing. We then detail analysis of vertebral and spine morphology using open-source software. This protocol will be useful for scientists using zebrafish to understand spine development and disease.
DOI:
10.1126/science.aaf6419
发表时间:
2016-06-10
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Grimes DT;Boswell CW;Morante NF;Henkelman RM;Burdine RD;Ciruna B
通讯作者:
Ciruna B
影响因子:
7.7
作者:
Bearce EA;Irons ZH;O'Hara-Smith JR;Kuhns CJ;Fisher SI;Crow WE;Grimes DT
通讯作者:
Grimes DT