使用三维显微计算机断层扫描分析小鼠颅颌面畸形
January 17th, 2025
在这里，我们深入描述了一种基于显微计算机断层扫描的方法，用于分割和测量小鼠颅颌面骨的 3D 模型，以便比当前方法更好地评估小鼠颅颌面骨的发育。
首先，将鼠标头骨的 Micro-CT 图像导入软件。右键单击 Masks 页面，然后选择 New Mask。将出现一个名为 green 的新图层。
在弹出的 Thresholding （阈值） 页面上，选择所需的阈值范围。单击 Masks 页面中新创建的绿色图层，然后从下拉菜单中选择 Calculate 3D。在 3D 对象界面中，右键单击 Green 并单击 Properties 。
然后点击 颜色 更改用不同骨骼重建的所有 3D 模型的编码。接下来，使用编辑菜单中的橡皮擦工具，手动擦除 2D 矢状面上每一层中附着在下颌骨上的骨骼。单击区域生长选项后，在 2D 矢状面上选择下颌骨的区域。
在 Masks 页面中，从下拉菜单中选择 Calculate 3D 并单击新创建的图层以将其标记为下颌骨。关闭可见的右键单击屏幕，然后选择缩放到全屏。然后单击 Measure 并从下拉菜单中选择 distance。
要计算长度，请在 3D 图像上标记正确的点。在 3D 对象界面中，右键单击 mandible，然后是 Properties and properties info Volume 模块。要读取每个颅颌面骨块的重建体积值，请以相同的方式测量下颌额骨、顶骨、鼻骨、前上颌骨、上颌骨、顶间骨和枕骨。
Micro-CT 分析显示显性阴性 RAR α 表达与骨骼缺损之间存在剂量依赖性相关性，包括下颌骨、额骨和顶骨长度减少。成骨细胞中 RAR 的抑制导致颅面畸形，其特征是颅面骨的形状、大小和骨化水平发生变化。
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概述
本文详细介绍了一种利用微计算机断层扫描技术创建和分析小鼠颅面骨3D模型的方法。与现有技术相比，这种方法提高了骨骼发育的评估。
关键研究组成部分
科学领域
- 神经科学
- 骨骼发育
- 成像技术
背景
- 颅面骨对于各种生物学研究至关重要。
- 当前的评估方法存在局限性。
- 微计算机断层扫描为详细成像提供了一种新的方法。
- 3D建模可以改善对骨骼发育的理解。
研究目的
- 开发一种更好的骨骼结构分割方法。
- 提高颅面骨的测量准确性。
- 为研究小鼠骨骼发育的研究人员提供可靠的工具。
使用的方法
- 将Micro-CT图像导入专业软件。
- 创建新的分割掩膜。
- 应用阈值技术进行精确建模。
- 计算分割骨骼的3D表示。
主要结果
- 成功分割颅面骨。
- 与传统方法相比，3D建模的准确性得到提高。
- 骨骼结构的可视化得到增强。
- 在生物学研究中的应用潜力更广泛。
结论
- 该方法显著改善了骨骼发育的评估。
- 微计算机断层扫描是神经科学研究的宝贵工具。
- 未来的研究可以利用这种技术进行各种应用。
常见问题
Executive Industry Relevance
Quantitative 3D microCT analysis of murine craniomaxillofacial bones enables precise assessment of genetic and developmental perturbations relevant to skeletal disease modeling. This workflow enhances predictive confidence in early-stage target validation and supports mechanistic de-risking for bone and craniofacial therapeutic discovery. Accurate segmentation and measurement of individual bones facilitate robust phenotypic screening and translational continuity across preclinical models.
Strategic Applications in Biopharma R&D
Early Discovery & Target Validation
- Enables quantitative interrogation of gene function and pathway impact on craniofacial bone development.
- Supports mechanistic de-risking by linking genetic mutations to discrete skeletal phenotypes.
- Facilitates functional target validation through reproducible morphometric outputs.
Screening & Assay Development
- Provides standardized, reproducible segmentation and measurement of multiple craniofacial bones.
- Delivers quantitative outputs suitable for high-confidence phenotypic screening.
- Prepares validated biological systems for downstream compound evaluation and comparative studies.
Translational & Preclinical Research
- Aligns preclinical bone phenotypes with disease-relevant endpoints for translational biomarker development.
- Enables continuity from genetic discovery through preclinical validation in skeletal disease models.
- Supports risk-adjusted advancement decisions based on robust morphometric data.
Pipeline & Workflow Integration
This microCT-based segmentation and quantification method integrates from early discovery through preclinical model validation in skeletal and craniofacial research.
- Discovery Biology: Supports hypothesis testing and pathway clarification by quantifying bone-specific effects of genetic perturbations.
- Screening: Delivers reproducible, quantitative morphometric outputs for assay standardization and screening readiness.
- Analytics: Provides volumetric and dimensional measurements enabling statistical comparison across experimental groups.
- Translational Research: Facilitates alignment of preclinical bone phenotypes with clinical endpoints in craniofacial disorders.
- Enterprise Reuse: Establishes a scalable, reusable imaging and analysis capability for diverse skeletal disease models.
Operational & Enterprise Impact
- Scientific Value: Increases predictive confidence and reduces mechanistic ambiguity in skeletal target validation.
- Operational Value: Standardizes image segmentation and measurement for reproducibility and scalability.
- Strategic Value: Improves go/no-go decisions and capital efficiency by providing robust quantitative endpoints.
- Portfolio Impact: Enables risk-adjusted prioritization and advancement of skeletal and craniofacial programs.
Implementation Considerations
- Requires expertise in microCT imaging and segmentation software.
- Demands access to high-resolution microCT instrumentation and analytical infrastructure.
- Benefits from cross-team standardization of segmentation protocols and measurement criteria.
- Adaptable to various genetic and disease models with appropriate parameter adjustments.
- Manual segmentation steps may limit throughput for large-scale studies.
