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High-throughput nonperturbing quantification of lipid droplets with digital holographic microscopy

机译:用数字全息显微镜对脂质滴进行高通量无干扰的定量

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摘要

In vitro differentiating adipocytes are sensitive to liquid manipulations and have the tendency to float. Assessing adipocyte differentiation using current microscopy techniques involves cell staining and washing, while using flow cytometry involves cell retrieval in suspension. These methods induce biases, are difficult to reproduce, and involve tedious optimizations. In this study, we present digital holographic microscopy (DHM) as a label-free, nonperturbing means to quantify lipid droplets in differentiating adipocytes in a robust medium- to high-throughput manner. Taking advantage of the high refractive index of lipid droplets, DHM can assess the production of intracellular lipid droplets by differences in phase shift in a quantitative manner. Adipocytic differentiation, combined with other morphological features including cell confluence and cell death, was tracked over 6 days in live OP9 mesenchymal stromal cells. We compared DHM with other currently available methods of lipid droplet quantification and demonstrated its robustness with modulators of adipocytic differentiation in a dose-responsive manner. This study suggests DHM as a novel marker-free nonperturbing method to study lipid droplet accumulation and may be envisioned for drug screens and mechanistic studies on adipocytic differentiation.
机译:体外分化的脂肪细胞对液体操作敏感,并有漂浮的趋势。使用当前的显微镜技术评估脂肪细胞的分化涉及细胞染色和洗涤,而使用流式细胞术则涉及悬浮细胞的回收。这些方法会引起偏差,难以再现,并且涉及乏味的优化。在这项研究中,我们提出数字全息显微术(DHM)作为一种无标记,无干扰的手段,以稳定的中至高通量方式量化分化脂肪细胞中的脂质滴。利用脂质滴的高折射率,DHM可以通过定量的相移差异评估细胞内脂质滴的产生。在活的OP9间充质基质细胞中追踪脂肪脂肪分化,并结合其他形态学特征(包括细胞融合和细胞死亡)超过6天。我们将DHM与其他目前可用的脂质滴定量方法进行了比较,并以剂量​​响应方式证明了其与脂肪细胞分化调节剂的鲁棒性。这项研究表明DHM作为研究脂质滴积累的一种新的无标记的非干扰方法,可能被设想用于药物筛选和脂肪细胞分化的机制研究。

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