Size and fluorescence calibrated imaging flow cytometry: From arbitrary to standard units

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Wouter W. Woud, Haley R. Pugsley, Britta A. Bettin, Zoltán Varga, Edwin van der Pol
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Abstract

Imaging flow cytometry (IFCM) is a technique that can detect, size, and phenotype extracellular vesicles (EVs) at high throughput (thousands/minute) in complex biofluids without prior EV isolation. However, the generated signals are expressed in arbitrary units, which hinders data interpretation and comparison of measurement results between instruments and institutes. While fluorescence calibration can be readily achieved, calibration of side scatter (SSC) signals presents an ongoing challenge for IFCM. Here, we present an approach to relate the SSC signals to particle size for IFCM, and perform a comparability study between three different IFCMs using a plasma EV test sample (PEVTES). SSC signals for different sizes of polystyrene (PS) and hollow organosilica beads (HOBs) were acquired with a 405 nm 120 mW laser without a notch filter before detection. Mie theory was applied to relate scatter signals to particle size. Fluorescence calibration was accomplished with 2 μm phycoerythrin (PE) and allophycocyanin (APC) MESF beads. Size and fluorescence calibration was performed for three IFCMs in two laboratories. CD235a-PE and CD61-APC stained PEVTES were used as EV-containing samples. EV concentrations were compared between instruments within a size range of 100–1000 nm and a fluorescence intensity range of 3–10,000 MESF. 81 nm PS beads could be readily discerned from background based on their SSC signals. Fitting of the obtained PS bead SSC signals with Mie theory resulted in a coefficient of determination >0.99 between theory and data for all three IFCMs. 216 nm HOBs were detected with all instruments, and confirmed the sensitivity to detect EVs by SSC. The lower limit of detection regarding EV-size for this study was determined to be ~100 nm for all instruments. Size and fluorescence calibration of IFCM data increased cross-instrument data comparability with the coefficient of variation decreasing from 33% to 21%. Here we demonstrate – for the first time – scatter calibration of an IFCM using the 405 nm laser. The quality of the scatter-to-diameter relation and scatter sensitivity of the IFCMs are similar to the most sensitive commercially available flow cytometers. This development will support the reliability of EV research with IFCM by providing robust standardization and reproducibility, which are pre-requisites for understanding the biological significance of EVs.

Abstract Image

尺寸和荧光校准成像流式细胞仪:从任意单位到标准单位。
成像流式细胞术(IFCM)是一种能在复杂的生物流体中以高通量(数千个/分钟)检测细胞外囊泡(EV)、确定其大小和表型的技术,而无需事先进行 EV 分离。然而,生成的信号是以任意单位表示的,这就妨碍了数据解释以及不同仪器和机构之间测量结果的比较。虽然荧光校准很容易实现,但侧散射(SSC)信号的校准一直是 IFCM 面临的挑战。在此,我们提出了一种将 SSC 信号与 IFCM 的粒度相关联的方法,并使用血浆 EV 测试样本 (PEVTES) 对三种不同的 IFCM 进行了可比性研究。使用 405 nm 120 mW 激光采集了不同尺寸的聚苯乙烯(PS)和空心有机硅珠(HOB)的 SSC 信号,检测前未使用陷波滤波器。应用米氏理论将散射信号与颗粒大小联系起来。用 2 μm 的植物红素(PE)和异叶花青素(APC)MESF 珠完成荧光校准。两个实验室对三种 IFCM 进行了尺寸和荧光校准。将 CD235a-PE 和 CD61-APC 染色的 PEVTES 用作含 EV 样品。在 100-1000 nm 的尺寸范围和 3-10,000 MESF 的荧光强度范围内,比较了不同仪器的 EV 浓度。根据其 SSC 信号,81 nm PS 珠很容易从背景中分辨出来。用米氏理论对获得的 PS 珠 SSC 信号进行拟合,结果发现所有三种 IFCM 的理论与数据之间的确定系数均大于 0.99。所有仪器都检测到了 216 nm 的 HOB,证实了 SSC 检测 EV 的灵敏度。在本研究中,所有仪器对 EV 大小的检测下限都被确定为 ~100 nm。IFCM 数据的尺寸和荧光校准提高了跨仪器数据的可比性,变异系数从 33% 降至 21%。在此,我们首次展示了使用 405 纳米激光对 IFCM 进行散射校准。散射与直径关系的质量以及 IFCM 的散射灵敏度与市场上最灵敏的流式细胞仪相似。这项开发将提供强大的标准化和可重复性,从而支持使用 IFCM 进行 EV 研究的可靠性,而这正是了解 EV 生物学意义的先决条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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