Instituto de Tecnologías Físicas y de la Información (CSIC), Serrano 144, 28006 Madrid, Spain.
Newborn Solutions, Baldiri Reixac, 4-12 i 15, 08028 Barcelona, Spain.
Sensors (Basel). 2023 Jan 14;23(2):977. doi: 10.3390/s23020977.
This work focuses on the use of ultrasound imaging to evaluate the cell concentration of dilute leukocyte suspensions in the range of 10-3000 cells/µL. First, numerical simulations were used to study the influence of the size dispersion and the leukocyte type on the performance of the concentration estimation algorithms, which were developed in previous works assuming single-sized scatterers. From this analysis, corrections to the mentioned algorithms were proposed and then the performance of these corrections was evaluated from experiments. For this, ultrasound images were captured from suspensions of lymphocytes, granulocytes, and their mixtures. These images were obtained using a 20 MHz single-channel scanning system. Results confirmed that concentration estimates provided by conventional algorithms were affected by the size dispersion of cells, leading to a remarkable underestimation of results. The proposed correction to compensate for cell size dispersion obtained from simulations improved the concentration estimation of these algorithms, for the cell suspensions tested, approaching the results to the reference optical characterization. Moreover, it was shown that these models provided a total leukocyte concentration from the ultrasound images which was independent of the relative populations of different white blood cell types.
本工作重点研究了超声成像在 10-3000 个细胞/µL 范围内评估稀释白细胞悬液细胞浓度的应用。首先,数值模拟用于研究大小分散和白细胞类型对先前工作中假设单分散散射体的浓度估计算法性能的影响。从该分析中,提出了对所述算法的修正,然后从实验中评估了这些修正的性能。为此,使用 20 MHz 单通道扫描系统从淋巴细胞、粒细胞及其混合物的悬浮液中捕获超声图像。结果证实,传统算法提供的浓度估计受到细胞大小分散的影响,导致结果显著低估。从模拟中获得的用于补偿细胞大小分散的建议修正提高了这些算法的浓度估计,对于测试的细胞悬浮液,结果更接近参考光学特性。此外,结果表明,这些模型从超声图像中提供了总白细胞浓度,与不同白细胞类型的相对比例无关。