利用改进的离焦粒子跟踪深度估算法,无创测量用于成骨细胞培养的微流控芯片中的壁剪应力。

IF 2.6 4区 工程技术 Q2 BIOCHEMICAL RESEARCH METHODS
Biomicrofluidics Pub Date : 2024-10-24 eCollection Date: 2024-09-01 DOI:10.1063/5.0226294
Hein Htet Aung, Phattarin Pothipan, Jirasin Aswakool, Siraphob Santironnarong, Rungrueang Phatthanakun, Visarute Pinrod, Thanakorn Jiemsakul, Wares Chancharoen, Aekkacha Moonwiriyakit
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引用次数: 0

摘要

开发一种非侵入式方法来测量微流控芯片中微通道的内部流体行为和动力学对生物研究提出了严峻的挑战,例如了解壁剪应力(WSS)对成骨细胞生长的影响。本研究利用一般离焦粒子跟踪(GDPT)技术开发了一种非侵入式方法,用于量化流体速度曲线并计算微流控芯片内的 WSS。GDPT 通过分析使用单个摄像头拍摄的二维图像和视频来估算粒子在三维空间中的运动。然而,由于没有镜头引入像差,GDPT 在估计离焦粒子的位移方向时容易出错,而且由于不知道确切的折射率,从估计值到物理单位的缩放也不准确。所提出的方法利用层流的理论知识,并整合了从多种分析中获得的结果,从而解决了这两个难题。我们利用计算流体动力学(CFD)模拟和微流控芯片的实验视频对所提出的方法进行了验证,该芯片可在稳态流动条件下产生不同的 WSS 水平。通过比较 CFD 和 GDPT 的速度曲线,发现平均皮尔逊相关系数为 0.77(最大值 = 0.90),平均类内相关系数为 0.66(最大值 = 0.82)。对在设计的微流控芯片上培养四天的成骨细胞进行密度测量分析后发现,细胞增殖率与测得的 WSS 值呈正相关。建议的分析方法可用于量化微流控芯片实验中的层流,而无需专门设备。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-invasive measurement of wall shear stress in microfluidic chip for osteoblast cell culture using improved depth estimation of defocus particle tracking method.

The development of a non-invasive method for measuring the internal fluid behavior and dynamics of microchannels in microfluidics poses critical challenges to biological research, such as understanding the impact of wall shear stress (WSS) in the growth of a bone-forming osteoblast. This study used the General Defocus Particle Tracking (GDPT) technique to develop a non-invasive method for quantifying the fluid velocity profile and calculated the WSS within a microfluidic chip. The GDPT estimates particle motion in a three-dimensional space by analyzing two-dimensional images and video captured using a single camera. However, without a lens to introduce aberration, GDPT is prone to error in estimating the displacement direction for out-of-focus particles, and without knowing the exact refractive indices, the scaling from estimated values to physical units is inaccurate. The proposed approach addresses both challenges by using theoretical knowledge on laminar flow and integrating results obtained from multiple analyses. The proposed approach was validated using computational fluid dynamics (CFD) simulations and experimental video of a microfluidic chip that can generate different WSS levels under steady-state flow conditions. By comparing the CFD and GDPT velocity profiles, it was found that the Mean Pearson Correlation Coefficient is 0.77 (max = 0.90) and the Mean Intraclass Correlation Coefficient is 0.66 (max = 0.82). The densitometry analysis of osteoblast cells cultured on the designed microfluidic chip for four days revealed that the cell proliferation rate correlates positively with the measured WSS values. The proposed analysis can be applied to quantify the laminar flow in microfluidic chip experiments without specialized equipment.

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来源期刊
Biomicrofluidics
Biomicrofluidics 生物-纳米科技
CiteScore
5.80
自引率
3.10%
发文量
68
审稿时长
1.3 months
期刊介绍: Biomicrofluidics (BMF) is an online-only journal published by AIP Publishing to rapidly disseminate research in fundamental physicochemical mechanisms associated with microfluidic and nanofluidic phenomena. BMF also publishes research in unique microfluidic and nanofluidic techniques for diagnostic, medical, biological, pharmaceutical, environmental, and chemical applications. BMF offers quick publication, multimedia capability, and worldwide circulation among academic, national, and industrial laboratories. With a primary focus on high-quality original research articles, BMF also organizes special sections that help explain and define specific challenges unique to the interdisciplinary field of biomicrofluidics. Microfluidic and nanofluidic actuation (electrokinetics, acoustofluidics, optofluidics, capillary) Liquid Biopsy (microRNA profiling, circulating tumor cell isolation, exosome isolation, circulating tumor DNA quantification) Cell sorting, manipulation, and transfection (di/electrophoresis, magnetic beads, optical traps, electroporation) Molecular Separation and Concentration (isotachophoresis, concentration polarization, di/electrophoresis, magnetic beads, nanoparticles) Cell culture and analysis(single cell assays, stimuli response, stem cell transfection) Genomic and proteomic analysis (rapid gene sequencing, DNA/protein/carbohydrate arrays) Biosensors (immuno-assay, nucleic acid fluorescent assay, colorimetric assay, enzyme amplification, plasmonic and Raman nano-reporter, molecular beacon, FRET, aptamer, nanopore, optical fibers) Biophysical transport and characterization (DNA, single protein, ion channel and membrane dynamics, cell motility and communication mechanisms, electrophysiology, patch clamping). Etc...
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