Estimate Yeast Replicative Lifespan from Time-lapse Microfluidic Images with Object Tracking and Lineage Analysis

Estimate Yeast Replicative Lifespan from Time-lapse Microfluidic Images with Object Tracking and Lineage Analysis
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DOI:
10.1109/iccrd54409.2022.9730498
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发表时间:
2022-01
期刊:
2022 14th International Conference on Computer Research and Development (ICCRD)
影响因子:
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通讯作者:
Mehran Ghafari;Cody Whitt;Parisa Hatami;Li Yang;Weiwei Dang;Hong Qin
Mehran Ghafari;Cody Whitt;Parisa Hatami;Li Yang;Weiwei Dang;Hong Qin
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其他
文献类型:
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作者:
Mehran Ghafari;Cody Whitt;Parisa Hatami;Li Yang;Weiwei Dang;Hong Qin

文献摘要

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基于高通量微流体的测定可以潜在地提高酵母复制寿命测量的速度和质量。一个主要的挑战是有效地将大量的延时图像转换为细胞寿命的定量测量。在这里,我们通过原型设计一种算法来解决这一挑战,该算法可以通过细胞的家谱来跟踪细胞分裂事件。我们使用微流体陷阱内的单细胞产生了空分布。基于这种空分布,我们原型化了一种最大似然算法,用于在不同时间点的图像之间进行细胞跟踪。我们通过基于似然的回溯方法推断细胞家族树。然后使用细胞家族树的分支模式来推断酵母母细胞的复制寿命。细胞家族树中最长的分支代表了酵母母细胞的完整轨迹。这个母细胞的复制寿命可以用这个家谱的分叉分支的数量来计算。此外,我们原型化了一种不同的方法的基础上求和细胞面积,提高了复制寿命估计显着。这些通用方法有可能加快效率和扩大酵母复制老化实验的定量测量范围。
High-throughput microfluidics-based assays can potentially increase the speed and quality of yeast replicative lifespan measurements. One major challenge is to efficiently convert large volumes of time-lapse images into quantitative measurements of cellular lifespans. Here, we address this challenge by prototyping an algorithm that can track cellular division events through family trees of cells. We generated a null distribution using single cells inside microfluidic traps. Based on this null distribution, we prototyped a maximum likelihood algorithm for cell tracking between images at different time-points. We inferred cell family trees through a likelihood based trace-back method. The branching patterns of the cell family trees are then used to infer replicative lifespan of the yeast mother cells. The longest branch of a cell family tree represents the full trajectory of a yeast mother cell. The replicative lifespan of this mother cell can be counted as the number of bifurcating branches of this family tree. In addition, we prototyped a different approach based on summing cells area which improved the replicative lifespan estimation significantly. These generic methods have the potential to accelerate the efficiency and expand the range of quantitative measurement of yeast replicative aging experiments.