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用于定量分析分裂血小板的生物特征图像分析

Biometric Image Analysis for Quantitation of Dividing Platelets.

作者信息

Kim Hyun-Jeong, Song Yejin, Song Jaewoo

机构信息

Department of Laboratory Medicine, Yonsei University College of Medicine, Yonsei-ro 50-1, Seodaemun-gu, Seoul 03722, Korea.

出版信息

Micromachines (Basel). 2018 Dec 20;10(1):1. doi: 10.3390/mi10010001.

Abstract

(1) Background: Quantification of platelet division is challenging because automated Coulter cell counters produce equivocal platelet counts. (2) Methods: We applied the flow cytometric cell tracking dye dilution assay as a popular immunological method to evaluate lymphocyte proliferation to prove and quantitate platelet division. We also devised a method relying on platelet culture in a semisolid medium which enabled dividing platelets to be identified by limiting the diffusive movement of platelets. Mixing platelets of different labeling colors in semisolid medium and counting the platelet doublets of each color combination enabled us to prove and quantitate platelet division. (3) Results: The tracking dye dilution assay revealed that 75.5 to 85.6% of platelets were dividing after 20 hours in culture. Platelets labeled with two different tracking dyes were mixed and cultured in semisolid medium for differential doublet counting. We counted platelet singlets and doublets of each color and color combination using confocal microscopy after six hours of culture and compared the relative number of two-colored doublets with binomial prediction to prove platelet division ( < 0.01). Division was suppressed by taxol, nocodazole, or cytochalasin D treatment. We derived a formula for determining the fraction of dividing platelets using the numbers of singlets and doublets of each color and color combination. The platelet division fraction ranged from 8.8 to 17.5%. (4) Conclusion: We successfully measured platelet division using a simple biometric image analysis method with possible future application to microfluidic devices.

摘要

(1) 背景:血小板分裂的定量分析具有挑战性,因为自动库尔特细胞计数器得出的血小板计数并不明确。(2) 方法:我们应用流式细胞术细胞追踪染料稀释测定法,这是一种常用的免疫学方法来评估淋巴细胞增殖,以证实和定量血小板分裂。我们还设计了一种基于半固体培养基中血小板培养的方法,通过限制血小板的扩散运动来识别正在分裂的血小板。在半固体培养基中混合不同标记颜色的血小板并对每种颜色组合的血小板双联体进行计数,使我们能够证实和定量血小板分裂。(3) 结果:追踪染料稀释测定法显示,培养20小时后,75.5%至85.6%的血小板正在分裂。将用两种不同追踪染料标记的血小板混合,并在半固体培养基中培养以进行差异双联体计数。培养6小时后,我们使用共聚焦显微镜对每种颜色和颜色组合的血小板单体和双联体进行计数,并将双色双联体的相对数量与二项式预测进行比较以证实血小板分裂(P<0.01)。紫杉醇、诺考达唑或细胞松弛素D处理可抑制分裂。我们推导出了一个公式,用于使用每种颜色和颜色组合的单体和双联体数量来确定分裂血小板的比例。血小板分裂比例范围为8.8%至17.5%。(4) 结论:我们使用一种简单的生物计量图像分析方法成功测量了血小板分裂,未来可能应用于微流控设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd02/6357203/4d0b0a2fd3b7/micromachines-10-00001-g001a.jpg

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