Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866916167923269632 |
|---|---|
| author | Shiku, Kaito Shirai, Hiromitsu Ishihara, Takeshi Bise, Ryoma |
| author_facet | Shiku, Kaito Shirai, Hiromitsu Ishihara, Takeshi Bise, Ryoma |
| contents | 3D cell tracking in a living organism has a crucial role in live cell image analysis. Cell tracking in C. elegans has two difficulties. First, cell migration in a consecutive frame is large since they move their head during scanning. Second, cell detection is often inconsistent in consecutive frames due to touching cells and low-contrast images, and these inconsistent detections affect the tracking performance worse. In this paper, we propose a cell tracking method to address these issues, which has two main contributions. First, we introduce cell position heatmap-based non-rigid alignment with test-time fine-tuning, which can warp the detected points to near the positions at the next frame. Second, we propose a pairwise detection method, which uses the information of detection results at the previous frame for detecting cells at the current frame. The experimental results demonstrate the effectiveness of each module, and the proposed method achieved the best performance in comparison. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_13412 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection Shiku, Kaito Shirai, Hiromitsu Ishihara, Takeshi Bise, Ryoma Computer Vision and Pattern Recognition 3D cell tracking in a living organism has a crucial role in live cell image analysis. Cell tracking in C. elegans has two difficulties. First, cell migration in a consecutive frame is large since they move their head during scanning. Second, cell detection is often inconsistent in consecutive frames due to touching cells and low-contrast images, and these inconsistent detections affect the tracking performance worse. In this paper, we propose a cell tracking method to address these issues, which has two main contributions. First, we introduce cell position heatmap-based non-rigid alignment with test-time fine-tuning, which can warp the detected points to near the positions at the next frame. Second, we propose a pairwise detection method, which uses the information of detection results at the previous frame for detecting cells at the current frame. The experimental results demonstrate the effectiveness of each module, and the proposed method achieved the best performance in comparison. |
| title | Cell Tracking in C. elegans with Cell Position Heatmap-Based Alignment and Pairwise Detection |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2403.13412 |