延时成像中细微时空模式的系统检测:I.有丝分裂

Raúl E Valdés-Pérez
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引用次数: 5

摘要

最近一篇关于黑腹果蝇早期胚胎合胞体细胞核分裂的文章提供了证据,证明从延时图像中获得的复杂时空数据是模式化的,这与之前基于初步观察的建议相反。然而,导致模式化假设的推理是非正式的和不系统的。在这里,我们提出了一种系统和计算机化的方法来检测细微的时空有丝分裂模式,在有丝分裂为三维异步过程的一般公式下,早期的数据是一种特殊情况。该方法涉及非参数统计学中排列检验概念的相当详细的应用。该方法不仅限于有丝分裂过程,而且对细胞和发育生物学中的其他类型的大规模延时成像现象,如迁移和细胞死亡,都有普遍的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systematic detection of subtle spatio–temporal patterns in time-lapse imaging: I. Mitosis

A recent article on syncytial nuclear divisions in early embryos of Drosophila melanogaster presented evidence that the complex spatio–temporal data obtained from time-lapse images were patterned, contrary to previous suggestions based on preliminary observations. However, the reasoning that led to the hypothesis of patterning was informal and unsystematic. Here, we propose a systematic and computerized method for detecting subtle spatio–temporal mitotic patterns, under a general formulation of mitosis as three-dimensional asynchronous processes, of which the earlier data are a special case. The approach involves a rather elaborate application of the concept of permutation test from nonparametric statistics. Far from being limited to mitotic processes, the approach holds general promise for other classes of mass, time-lapse imaging phenomena in cell and developmental biology, such as migration and cell death.

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