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Application of Digital Image Analysis to Determine Pancreatic Islet Mass and Purity in Clinical Islet Isolation and Transplantation

机译:数字图像分析在临床胰岛分离和移植中确定胰岛质量和纯度的应用

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Pancreatic islet mass, represented by islet equivalent (IEQ), is the most important parameter in decision making for clinical islet transplantation. To obtain IEQ, the sample of islets is routinely counted under a microscope and discarded thereafter. Islet purity, another parameter in islet processing, is routinely assessed by estimation only. In this study, we validated our digital image analysis (DIA) system by using the software of Image Pro Plus and a custom-designed Excel template to assess islet mass and purity to better comply with current good manufacturing practice (cGMP) standards. Human islet samples (60 collected from a single isolation and 24 collected from 12 isolations) were captured as calibrated digital images for the permanent record. Seven trained technicians participated in determination of IEQ and purity by the manual counting method (manual image counting, Manual I) and DIA. IEQ count showed statistically significant correlations between the Manual I and DIA in all sample comparisons (r>0.819 and p<0.0001). A statistically significant difference in IEQ between Manual I and DIA was not found in all sample groups (p>0.05). In terms of purity determination, statistically significant differences between assessment and DIA measurement were found in high-purity 100-mu l samples (p<0.005) and low-purity 100-mu l samples (p<0.001) of the single isolation. In addition, islet particle number (IPN) and the IEQ/IPN ratio did not differ statistically between Manual I and DIA. In conclusion, the DIA used in this study is a reliable technique to determine IEQ and purity. Islet sample preserved as a digital image and results produced by DIA can be permanently stored for verification, technical training, and information exchange among islet centers. Therefore, DIA complies better with cGMP requirements than the manual counting method. We propose DIA as a quality control tool to supplement the established standard manual method for islet counting and purity estimation.
机译:以胰岛当量(IEQ)表示的胰岛肿块是临床胰岛移植决策中最重要的参数。为了获得IEQ,通常在显微镜下对胰岛样品进行计数,然后将其丢弃。胰岛纯度是胰岛加工中的另一个参数,通常仅通过估算来评估。在这项研究中,我们通过使用Image Pro Plus软件和定制设计的Excel模板来评估胰岛的质量和纯度,以更好地符合当前的良好生产规范(cGMP)标准,从而验证了我们的数字图像分析(DIA)系统。将人类胰岛样品(从单个分离物中收集了60个,从12个分离物中收集了24个)作为经过校准的数字图像进行永久记录。七名训练有素的技术人员通过手动计数方法(手动图像计数,手册I)和DIA参与了IEQ和纯度的测定。 IEQ计数在所有样本比较中均在手册I和DIA之间显示出统计学上显着的相关性(r> 0.819和p <0.0001)。在所有样本组中,均未发现Manual I和DIA之间的IEQ有统计学意义的差异(p> 0.05)。在纯度测定方面,在一次分离的高纯度100毫升样品(p <0.005)和低纯度100毫升样品(p <0.001)中,评估和DIA测量之间存在统计学上的显着差异。另外,《手册I》和《 DIA》之间的胰岛颗粒数(IPN)和IEQ / IPN比值在统计学上没有差异。总之,本研究中使用的DIA是确定IEQ和纯度的可靠技术。保存为数字图像的胰岛样本以及由DIA产生的结果可以永久存储,以进行验证,技术培训以及在胰岛中心之间进行信息交换。因此,DIA比手动计数方法更符合cGMP要求。我们建议使用DIA作为质量控制工具,以补充已建立的用于胰岛计数和纯度估计的标准手动方法。

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