A Smartphone-Fluidic Digital Imaging Analysis System for Pancreatic Islet Mass Quantification.

A Smartphone-Fluidic Digital Imaging Analysis System for Pancreatic Islet Mass Quantification.
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DOI:
10.3389/fbioe.2021.692686
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发表时间:
2021
影响因子:
5.7
通讯作者:
Oberholzer J
Oberholzer J
中科院分区:
工程技术2区
文献类型:
--
作者:
Yu X;Zhang P;He Y;Lin E;Ai H;Ramasubramanian MK;Wang Y;Xing Y;Oberholzer J

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胰岛β细胞活力、功能和质量是决定人类胰岛移植治疗1型糖尿病(T1DM)患者疗效的三个决定性因素。胰岛质量通常是人工评估,这往往会导致误差和偏差。数字成像分析(DIA)系统已显示出其作为替代方案的潜力,但也存在一些相关的局限性。在本研究中,开发了一种智能手机-流体数字成像分析(SFDIA)系统,该系统结合了微流体技术和基于python的视频处理软件,用于胰岛质量评估。我们使用SFDIA系统通过跟踪微流控通道中多个移动的胰岛来量化胰岛,并获得了相对一致的结果。SFDIA计数与人工计数的平均差异为2.91±1.50%。此外,我们的软件可以分析和提取关键的人类胰岛质量参数,包括数量、大小、体积、IEq、形态和纯度,这些都是传统人工计数方法无法完全获得的。在代表性胰岛样品上使用SFDIA测得的平均直径为99.88±53.91µm,平均圆度为0.591±0.133,平均固体度为0.853±0.107。通过SFDIA分析双硫砜染色的胰岛,我们发现与中间层胰岛相比,上层胰岛的组织百分比更高(分别为0.735±0.213和0.576±0.223)。我们的研究结果表明,与传统的手工技术相比,SFDIA系统具有更高的准确性和一致性,可以作为多参数胰岛质量测定的潜在应用。
Islet beta-cell viability, function, and mass are three decisive attributes that determine the efficacy of human islet transplantation for type 1 diabetes mellitus (T1DM) patients. Islet mass is commonly assessed manually, which often leads to error and bias. Digital imaging analysis (DIA) system has shown its potential as an alternative, but it has some associated limitations. In this study, a Smartphone-Fluidic Digital Imaging Analysis (SFDIA) System, which incorporates microfluidic techniques and Python-based video processing software, was developed for islet mass assessment. We quantified islets by tracking multiple moving islets in a microfluidic channel using the SFDIA system, and we achieved a relatively consistent result. The counts from the SFDIA and manual counting showed an average difference of 2.91 ± 1.50%. Furthermore, our software can analyze and extract key human islet mass parameters, including quantity, size, volume, IEq, morphology, and purity, which are not fully obtainable from traditional manual counting methods. Using SFDIA on a representative islet sample, we measured an average diameter of 99.88 ± 53.91 µm, an average circularity of 0.591 ± 0.133, and an average solidity of 0.853 ± 0.107. Via analysis of dithizone-stained islets using SFDIA, we found that a higher islet tissue percentage is associated with top-layer islets as opposed to middle-layer islets (0.735 ± 0.213 and 0.576 ± 0.223, respectively). Our results indicate that the SFDIA system can potentially be used as a multi-parameter islet mass assay that is superior in accuracy and consistency, when compared to conventional manual techniques.
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