Spatiotemporal Image Correlation Analysis for 3D Flow Field Mapping in Microfluidic Devices,Analytical Chemistry

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Spatiotemporal Image Correlation Analysis for 3D Flow Field Mapping in Microfluidic Devices
Analytical Chemistry ( IF 6.7 ) Pub Date : 2018-01-10 00:00:00 , DOI: 10.1021/acs.analchem.7b04641
Nicolo’ G. Ceffa ₁ , Margaux Bouzin ₁ , Laura D’Alfonso ₁ , Laura Sironi ₁ , Cassia A. Marquezin ₂ , Ferdinando Auricchio ₃ , Stefania Marconi ₃ , Giuseppe Chirico _{1,

4} , Maddalena Collini _{1,

4}

Affiliation

Microfluidic devices reproducing 3D networks are particularly valuable for nanomedicine applications such as tissue engineering and active cell sorting. There is however a gap in the possibility to measure how the flow evolves in such 3D structures. We show here that it is possible to map 3D flows in complex microchannel networks by combining wide field illumination to image correlation approaches. For this purpose, we have derived the spatiotemporal image correlation analysis of time stacks of single-plane illumination microscopy images. From the detailed analytical and numerical analysis of the resulting model, we developed a fitting method that allows us to measure, besides the in-plane velocity, the out-of-plane velocity component down to v_z ≅ 65 μm/s. We have applied this method successfully to the 3D reconstruction of flows in microchannel networks with planar and 3D ramifications. These different network architectures have been realized by exploiting the great prototyping ability of a 3D printer, whose precision can reach few tens of micrometers, coupled to poly dimethyl-siloxane soft-printing lithography.

中文翻译：

微流控设备中3D流场映射的时空图像相关性分析

再现3D网络的微流体设备对于纳米医学应用（例如组织工程和活性细胞分选）特别有价值。但是，在这种3D结构中测量流量如何演化的可能性存在差距。我们在这里表明，通过将宽视场照明与图像相关方法结合起来，可以在复杂的微通道网络中映射3D流。为此，我们导出了单平面照明显微镜图像的时间堆栈的时空图像相关性分析。通过对所得模型进行详细的分析和数值分析，我们开发了一种拟合方法，该方法使我们能够测量除平面内速度外的平面外速度分量，直至v _z≅65μm/ s。我们已成功地将此方法应用于具有平面和3D分支的微通道网络中流的3D重建。这些不同的网络体系结构是通过利用3D打印机的强大原型制作能力而实现的，该3D打印机的精度可以达到几十微米，并结合了聚二甲基硅氧烷软印刷光刻技术。

更新日期：2018-01-10

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