Shandong University, School of Control Science & Engineering, Department of Biomedical Engineering, Jinan, China.
J Biomed Opt. 2011 Jun;16(6):067003. doi: 10.1117/1.3583577.
A microfluidic flow cytometric technique capable of obtaining information on nanometer-sized organelles in single cells in a label-free, noninvasive optical manner was developed. Experimental two-dimensional (2D) light scattering patterns from malignant lymphoid cells (Jurkat cell line) and normal hematopoietic stem cells (cord blood CD34+ cells) were compared with those obtained from finite-difference time-domain simulations. In the simulations, we assumed that the mitochondria were randomly distributed throughout a Jurkat cell, and aggregated in a CD34+ cell. Comparison of the experimental and simulated light scattering patterns led us to conclude that distinction from these two types of cells may be due to different mitochondrial distributions. This observation was confirmed by conventional confocal fluorescence microscopy. A method for potential cell discrimination was developed based on analysis of the 2D light scattering patterns. Potential clinical applications using mitochondria as intrinsic biological markers in single cells were discussed in terms of normal cells (CD34+ cell and lymphocytes) versus malignant cells (THP-1 and Jurkat cell lines).
开发了一种微流控流式细胞术技术,能够以非标记、非侵入性的光学方式从单个细胞中获得纳米级细胞器的信息。比较了恶性淋巴样细胞(Jurkat 细胞系)和正常造血干细胞(脐血 CD34+细胞)的实验二维(2D)光散射模式与有限差分时间域模拟获得的光散射模式。在模拟中,我们假设线粒体在 Jurkat 细胞中随机分布,并在 CD34+细胞中聚集。将实验和模拟的光散射模式进行比较,我们得出结论,这两种细胞的区别可能是由于线粒体的分布不同。这一观察结果通过传统的共聚焦荧光显微镜得到了证实。基于二维光散射模式的分析,开发了一种用于潜在细胞识别的方法。讨论了以线粒体作为单个细胞内在生物标志物的潜在临床应用,包括正常细胞(CD34+细胞和淋巴细胞)与恶性细胞(THP-1 和 Jurkat 细胞系)。