David Dannhauser, Maria Isabella Maremonti, Paolo Antonio Netti and Filippo Causa
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引用次数: 0
Abstract
Intrinsic biophysical and morphological features are essential for the label-free identification of different cell types. Indeed, apart from object size, density could represent a key parameter for single-cell analysis. However, the measurement of such a parameter is challenging. Therefore, we present a straightforward and versatile microfluidic chip. The densimeter-on-chip (DoC) measures single-cell mass densities thanks to a hydrodynamically induced sedimentation process inside the microchannel. In detail, in-flow buoyant components become more relevant than viscoelastic alignment forces, leading to precise in-flow sedimentation. DoC is based on precise three-dimensional cell alignment, followed by an abrupt change in cross-section to induce calibrated sedimentation. Based on the balance of acting forces and tracking the in-flow cell trajectory, we have developed a self-written mathematical model to precisely measure the single-cell densities of multiple cell types of any shape. Both cell velocity and fall length define the resulting cell density. The working range of object diameters for which density can be estimated is 0.75–22.5 μm. As result, the minimum measured density is 998 kg m−3 and a sensitivity of 0.001 can be obtained. Great agreement between the computational and the literature findings about red blood cells (∼1159 ± 29.5 kg m−3), lymphocytes (∼1073 ± 49 kg m−3) and neutrophils (∼1093 ± 27 kg m−3) is obtained without chip modification. Indeed, the computational error between the mean density values is ∼1%. Thereby, DoC as an easy-to-use and reproducible solution for label-free single-cell density measurement, provides a universal approach for characterizing a wide range of cell types, independently of their size and shape.
内在的生物物理和形态特征对于不同类型的细胞的无标记鉴定是必不可少的。事实上,除了物体的大小,密度可以代表单细胞分析的一个关键参数。然而,测量这样一个参数是具有挑战性的。因此,我们提出了一种简单、通用的微流控芯片。芯片密度计(DoC)通过微通道内流体动力学诱导的沉积过程测量单细胞质量密度。详细地说,流动中的浮力分量比粘弹性定向力更相关,从而导致精确的流动沉降。DoC是基于精确的三维细胞排列,然后在横截面的突然变化,以诱导校准沉降。基于作用力平衡和跟踪流动细胞轨迹,我们开发了一个自行编写的数学模型,以精确测量任何形状的多种细胞类型的单细胞密度。细胞速度和下落长度都决定了细胞密度。可估算密度的物体直径范围为0.75 μm ~ 22.5 μm。结果表明,最小测量密度为998 kg m-3,灵敏度为0.001。在不修改芯片的情况下,计算结果与文献中关于红细胞(~ 1159±29.5 kg m-3)、淋巴细胞(~ 1073±49 kg m-3)和中性粒细胞(~ 1093±27 kg m-3)的结果非常一致。实际上,平均密度值之间的计算误差为~ 1%。因此,DoC作为一种易于使用和可重复的无标签单细胞密度测量解决方案,提供了一种通用的方法来表征各种细胞类型,而不依赖于它们的大小和形状。
期刊介绍:
Lab on a Chip is the premiere journal that publishes cutting-edge research in the field of miniaturization. By their very nature, microfluidic/nanofluidic/miniaturized systems are at the intersection of disciplines, spanning fundamental research to high-end application, which is reflected by the broad readership of the journal. Lab on a Chip publishes two types of papers on original research: full-length research papers and communications. Papers should demonstrate innovations, which can come from technical advancements or applications addressing pressing needs in globally important areas. The journal also publishes Comments, Reviews, and Perspectives.