National Taiwan University, Department of Life Science, Taipei, Taiwan.
National Taiwan University, Department of Electrical Engineering, Taipei, Taiwan.
J Biomed Opt. 2022 Apr;27(4). doi: 10.1117/1.JBO.27.4.046502.
Investigating cell death dynamics at the single-cell level plays an essential role in biological research. Quantitative phase imaging (QPI), a label-free method without adverse effects of exogenous labels, has been widely used to image many types of cells under various conditions. However, the dynamics of QPI features during cell death have not been thoroughly characterized.
We aim to develop a label-free technique to quantitatively characterize single-cell dynamics of cellular morphology and intracellular mass distribution of cells undergoing apoptosis and necrosis.
QPI was used to capture time-lapse phase images of apoptotic, necrotic, and normal cells. The dynamics of morphological and QPI features during cell death were fitted by a sigmoid function to quantify both the extent and rate of changes.
The two types of cell death mainly differed from normal cells in the lower phase of the central region and differed from each other in the sharp nuclear boundary shown in apoptotic cells.
The proposed method characterizes the dynamics of cellular morphology and intracellular mass distributions, which could be applied to studying cells undergoing state transition such as drug response.
在单细胞水平上研究细胞死亡动力学在生物学研究中起着至关重要的作用。定量相位成像(QPI)是一种无标记的方法,没有外源标记的不利影响,已广泛用于在各种条件下对多种类型的细胞进行成像。然而,细胞死亡过程中 QPI 特征的动力学尚未得到彻底描述。
我们旨在开发一种无标记技术,定量表征细胞凋亡和坏死过程中细胞形态和细胞内质量分布的单细胞动力学。
QPI 用于捕获细胞凋亡、坏死和正常细胞的时间推移相位图像。通过拟合 sigmoid 函数来拟合细胞死亡过程中形态和 QPI 特征的动力学,以量化变化的程度和速率。
两种类型的细胞死亡与正常细胞主要区别在于中央区域的较低相位,而凋亡细胞中清晰的核边界则使它们彼此不同。
所提出的方法描述了细胞形态和细胞内质量分布的动力学,可应用于研究药物反应等状态转变的细胞。