Rao Hongtao, Wang Meng, Wu Yinglian, Wu Ying, Han Caiqin, Yan Changchun, Zhang Le, Wang Jingjing, Liu Ying
Jiangsu Key Laboratory of Advanced Laser Materials and Devices, School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, China.
Xuzhou College of Industrial Technology, Xuzhou, China.
Biomed Opt Express. 2024 May 16;15(6):3783-3794. doi: 10.1364/BOE.523702. eCollection 2024 Jun 1.
Erythrocyte deformability correlates with various diseases. Single-cell measurements via optical tweezers (OTs) enable quantitative exploration but may encounter inaccuracies due to erythrocyte life cycle mixing. We present a three-step methodology to address these challenges. Firstly, density gradient centrifugation minimizes erythrocyte variations. Secondly, OTs measure membrane shear force across layers. Thirdly, MATLAB analyzes dynamic cell areas. Results combined with membrane shear force data reveal erythrocyte deformational capacity. To further characterize the deformability of diseased erythrocytes, the experiments used glutaraldehyde-fixed erythrocytes to simulate diseased cells. OTs detect increased shear modulus, while image recognition indicates decreased deformation. The integration of OTs and image recognition presents a comprehensive approach to deformation analysis, introducing novel ideas and methodologies for investigating erythrocytic lesions.
红细胞变形性与多种疾病相关。通过光镊（OTs）进行单细胞测量能够进行定量探索，但由于红细胞生命周期的混合可能会出现不准确的情况。我们提出了一种三步方法来应对这些挑战。首先，密度梯度离心可使红细胞变异最小化。其次，光镊测量各层间的膜剪切力。第三，MATLAB分析动态细胞面积。将结果与膜剪切力数据相结合可揭示红细胞的变形能力。为了进一步表征患病红细胞的变形性，实验使用戊二醛固定的红细胞来模拟患病细胞。光镊检测到剪切模量增加，而图像识别表明变形减少。光镊与图像识别的结合为变形分析提供了一种全面的方法，为研究红细胞病变引入了新的思路和方法。
