Cellpose
基于深度学习的细胞分割算法，使用 U-Net 架构自动检测图像中的细胞边界。 该方法提供预训练模型，支持多种细胞类型和成像模式，是空间蛋白质组学 图像分析的基础工具。
| Property | Value |
|---|---|
| Purpose | 基于深度学习的细胞图像分割 |
| Time Complexity | O(p) |
| Space Complexity | O(p) |
| Year | 2020 |
| Difficulty | Intermediate |
| Languages | Python |
| Category | Spatial Omics |
Complexity Analysis
- Time Complexity:
O(p) - Space Complexity:
O(p)
Performance Insight: The time complexity of this algorithm is polynomial.
Note: Complexity analysis is based on theoretical models. Actual runtime is affected by input scale, hardware, and implementation optimizations. Benchmark for your specific workload.
Literature & Implementation
Related Tools
Stardist · Mesmer · CellProfiler