Quantitative Light Imaging Laboratory, Department of Electrical and Computer Engineering, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA.
Institute of Information Optics, Zhejiang Normal University, Jinhua, Zhejiang, 321004, China.
Sci Rep. 2016 Sep 12;6:32702. doi: 10.1038/srep32702.
We present phase correlation imaging (PCI) as a novel approach to study cell dynamics in a spatially-resolved manner. PCI relies on quantitative phase imaging time-lapse data and, as such, functions in label-free mode, without the limitations associated with exogenous markers. The correlation time map outputted in PCI informs on the dynamics of the intracellular mass transport. Specifically, we show that PCI can extract quantitatively the diffusion coefficient map associated with live cells, as well as standard Brownian particles. Due to its high sensitivity to mass transport, PCI can be applied to studying the integrity of actin polymerization dynamics. Our results indicate that the cyto-D treatment blocking the actin polymerization has a dominant effect at the large spatial scales, in the region surrounding the cell. We found that PCI can distinguish between senescent and quiescent cells, which is extremely difficult without using specific markers currently. We anticipate that PCI will be used alongside established, fluorescence-based techniques to enable valuable new studies of cell function.
我们提出了相位相关成像（PCI）作为一种新的方法来以空间分辨的方式研究细胞动力学。PCI 依赖于定量相位成像的时间推移数据，因此，以无标记的方式工作，没有与外源性标记相关的限制。PCI 输出的相关时间图提供了关于细胞内物质运输动力学的信息。具体来说，我们表明 PCI 可以定量提取与活细胞相关的扩散系数图，以及标准布朗粒子。由于其对物质运输的高灵敏度，PCI 可应用于研究肌动蛋白聚合动力学的完整性。我们的结果表明，在细胞周围的大空间尺度上，抑制肌动蛋白聚合的细胞溶质-D 处理具有主导作用。我们发现，PCI 可以区分衰老和静止的细胞，而目前如果不使用特定的标记，则极难做到这一点。我们预计 PCI 将与现有的荧光基技术一起使用，以实现对细胞功能的有价值的新研究。
