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Widely accessible method for 3D microflow mapping at high spatial and temporal resolutions

Microsystems & Nanoengineering 2022年第4期8卷 57-71页

作者： Evan Lammertse nikhil koditala Martin Sauzade Hongxiao Li Qiang Li Luc Anis Jun Kong Eric Brouzes Department of Biomedical Engineering Stony Brook UniversityStony BrookNY 11794USA Department of Mathematics and Statistics Department of Computer ScienceGeorgia State UniversityAtlantaGA 30302USA Laufer Center for Physical and Quantitative Biology Stony Brook UniversityStony BrookNY 11794USA Cancer Center Stony Brook School of MedicineStony BrookNY 11794USA Institute for Engineering Driven Medicine Stony Brook UniversityStony BrookNY 11794USA

Advances in microfluidic technologies rely on engineered 3D flow patterns to manipulate samples at the ***,current methods for mapping flows only provide limited 3D and temporal resolutions or require highly specialized optical ***,we present a simple defocusing approach based on brightfield microscopy and open-source software to map micro-flows in 3D at high spatial and temporal *** workflow is both integrated in ImageJ and *** track seed particles in 2D before classifying their Z-position using a reference *** compare the performance of a traditional cross-correlation method and a deep learning model in performing the classification *** validate our method on three highly relevant microfluidic examples:a channel step expansion and displacement structures as single-phase flow examples,and droplet microfluidics as a twophase flow ***,we elucidate how displacement structures efficiently shift large particles across ***,we reveal novel recirculation structures and folding patterns in the internal flow of microfluidic *** simple and widely accessible brightfield technique generates high-resolution flow maps and it will address the increasing demand for controlling fluids at the microscale by supporting the efficient design of novel microfluidic structures.

关键词： flow resolution method

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