Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
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DOI：
10.1371/journal.pone.0081266
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Larue L
中科院分区：
文献类型：
--
作者：
Cordelières FP;Petit V;Kumasaka M;Debeir O;Letort V;Gallagher SJ;Larue L
细胞迁移是一个重要的生物学过程，在生理和病理条件下都有作用。胚胎发育过程中细胞的运动对它们在生物体中的正确定位至关重要；免疫细胞必须迁移和循环以应对损伤。细胞迁移失败或迁移能力不适当的获得可导致严重的缺陷，如色素沉着改变，发育过程中颅骨和肢体异常，伤口修复缺陷，免疫抑制或肿瘤播散。准确分析和量化细胞迁移的能力对于我们理解发育、体内平衡和疾病非常重要。使用原代或已建立的细胞培养物的体外细胞跟踪实验通常用于研究迁移，因为细胞可以快速且容易地进行遗传或化学操作。使用配备CCD相机的显微镜，在几个小时内以固定的时间间隔获得细胞的图像。然后需要跟踪每个单元在记录的帧序列上的位置（x,y,t）。人工计算机辅助跟踪是分析细胞迁移行为的传统方法。然而，这种处理非常繁琐和耗时。大多数现有的跟踪算法都需要具有大多数生物学家不熟悉的编程语言的经验。因此，我们开发了一个自动细胞跟踪程序，用Java编写，它使用mean-shift算法和ImageJ作为库。iTrack4U是一个用户友好的软件。与手动跟踪相比，它节省了大量的时间来生成和分析表征细胞迁移的变量，因为它们是用iTrack4U自动计算的。iTrack4U的另一个主要兴趣是标准化和缺乏实验者之间的差异。最后，iTrack4U适用于相衬和荧光细胞。
Cell migration is a key biological process with a role in both physiological and pathological conditions. Locomotion of cells during embryonic development is essential for their correct positioning in the organism; immune cells have to migrate and circulate in response to injury. Failure of cells to migrate or an inappropriate acquisition of migratory capacities can result in severe defects such as altered pigmentation, skull and limb abnormalities during development, and defective wound repair, immunosuppression or tumor dissemination. The ability to accurately analyze and quantify cell migration is important for our understanding of development, homeostasis and disease. In vitro cell tracking experiments, using primary or established cell cultures, are often used to study migration as cells can quickly and easily be genetically or chemically manipulated. Images of the cells are acquired at regular time intervals over several hours using microscopes equipped with CCD camera. The locations (x,y,t) of each cell on the recorded sequence of frames then need to be tracked. Manual computer-assisted tracking is the traditional method for analyzing the migratory behavior of cells. However, this processing is extremely tedious and time-consuming. Most existing tracking algorithms require experience in programming languages that are unfamiliar to most biologists. We therefore developed an automated cell tracking program, written in Java, which uses a mean-shift algorithm and ImageJ as a library. iTrack4U is a user-friendly software. Compared to manual tracking, it saves considerable amount of time to generate and analyze the variables characterizing cell migration, since they are automatically computed with iTrack4U. Another major interest of iTrack4U is the standardization and the lack of inter-experimenter differences. Finally, iTrack4U is adapted for phase contrast and fluorescent cells.
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影响因子：
10.6
作者：
Debeir, O;Van Ham, P;Decaestecker, C
通讯作者：
Decaestecker, C
白细胞运动和趋化性。评估的新方法，并证明了细胞衍生的趋化因子。
影响因子：
15.3
作者：
Zigmond, S H;Hirsch, J G
通讯作者：
Hirsch, J G
影响因子：
5.8
作者：
Dzyubachyk, Oleh;Essers, Jeroen;Meijering, Erik
通讯作者：
Meijering, Erik
影响因子：
2.2
作者：
Letort, V.;Fouliard, S.;Xavier, F.
通讯作者：
Xavier, F.
DOI：
10.1073/pnas.66.1.204
发表时间：
1970-01-01
影响因子：
11.1
作者：
DULBECCO, R;STOKER, MGP
通讯作者：
STOKER, MGP