Improving cell tracking by jointly handling missed detections, false detections, cell divisions and higher-order motion models

通过联合处理漏检、误检、细胞分裂和高阶运动模型来改善细胞跟踪

• 批准号: 286502966
• 负责人: Professor Dr. Fred A. Hamprecht
• 金额: --
• 依托单位: Heidelberg Collaboratory for Image Processing HCI
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2019-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/286502966?language=en
• 关键词: Improving; cell; tracking; jointly; handling

In fields ranging from developmental to cell biology, very high cell tracking accuracy is required to gain fundamental insight from the quantitative analysis of cell trajectories. However, the required precision is not yet achieved by any existing cell tracking algorithm. In this project, we plan to increase the expressiveness of so-called tracking-by-assignment models while decreasing their runtime. To achieve the former, we will introduce factors that are higher order in time to model prior knowledge such as constant velocity, smoothness of trajectories and consistency with respect to the cell cycle. These developments need to be tightly coupled with improvements in approximate combinatorial optimization. Together, these developments should expand the state of the art in computer vision so as to finally allow a reliable cell tracking in challenging 2D+time and 3D+time datasets from the life sciences.

在从发育到细胞生物学的各个领域中，需要非常高的细胞跟踪精度才能从细胞轨迹的定量分析中获得基本的见解。然而，所需的精度还没有达到任何现有的细胞跟踪算法。在这个项目中，我们计划增加所谓的分配跟踪模型的表现力，同时减少它们的运行时间。为了实现前者，我们将引入在时间上更高阶的因素来建模先验知识，例如恒定速度，轨迹的平滑度和与细胞周期的一致性。这些发展需要与近似组合优化的改进紧密结合。总之，这些发展应该扩展计算机视觉的最新技术水平，以便最终在生命科学中具有挑战性的2D+时间和3D+时间数据集中实现可靠的细胞跟踪。

项目成果

Diverse M-Best Solutions by Dynamic Programming

动态规划的各种 M-Best 解决方案

• DOI: 10.1007/978-3-319-66709-6_21
• 发表时间: 2017
• 作者: Haubold;Uhlmann;Hamprecht
• 通讯作者: Hamprecht

Leveraging Domain Knowledge to Improve Microscopy Image Segmentation With Lifted Multicuts

• DOI: 10.3389/fcomp.2019.00006
• 发表时间: 2019-10-24
• 期刊: FRONTIERS IN COMPUTER SCIENCE
• 影响因子: 2.6
• 作者: Pape, Constantin;Matskevych, Alex;Kreshuk, Anna
• 通讯作者: Kreshuk, Anna