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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2409.11974 |
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| _version_ | 1866909484740247552 |
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| author | Taşel, Faris Serdar Çiftci, Efe |
| author_facet | Taşel, Faris Serdar Çiftci, Efe |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_11974 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MitoSeg: Mitochondria Segmentation Tool Taşel, Faris Serdar Çiftci, Efe Computer Vision and Pattern Recognition 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. |
| title | MitoSeg: Mitochondria Segmentation Tool |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2409.11974 |