自动分割电镜断层图像中的线粒体边界并生成3D网格
MitoSeg: Mitochondria Segmentation Tool
- 基于电镜断层图像，精准识别线粒体边界
- 生成高精度三维网格模型，支持结构分析
- 适用于神经退行性疾病研究的线粒体形态分析
近期研究表明线粒体的物理结构与神经退行性疾病可能存在关联。随着电子显微镜技术的进步，现已能详细观测线粒体的边界及内部膜结构。自动分割线粒体图像对于探究其与疾病的关系至关重要。本文提出一种线粒体分割工具（MitoSeg），可突出显示电子显微镜断层扫描图像中的线粒体边界，并生成对应的三维网格模型。
原文摘要 · Abstract (English)
Recent studies suggest a potential link between the physical structure of mitochondria and neurodegenerative diseases. With advances in Electron Microscopy techniques, it has become possible to visualize the boundary and internal membrane structures of mitochondria in detail. It is crucial to automatically segment mitochondria from these images to investigate the relationship between mitochondria and diseases. In this paper, we present a software solution for mitochondrial segmentation, highlighting mitochondria boundaries in electron microscopy tomography images and generating corresponding 3D meshes.
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