Automated Image Processing for Spatially Resolved Analysis of Lipid Droplets in Cultured 3T3-L1 Adipocytes.

Automated Image Processing for Spatially Resolved Analysis of Lipid Droplets in Cultured 3T3-L1 Adipocytes.
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用于培养 3T3-L1 脂肪细胞中脂滴空间分辨分析的自动图像处理。

DOI:
10.1089/ten.tec.2014.0513
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发表时间:
2015
期刊:
Tissue engineering. Part C, Methods
影响因子:
--
通讯作者:
Lee,Kyongbum
Lee,Kyongbum
中科院分区:
--
文献类型:
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作者:
Sims,JamesKenneth;Rohr,Brian;Miller,Eric;Lee,Kyongbum

文献摘要

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脂肪组织的细胞肥大是许多肥胖相关疾病的促炎机制的基础。脂肪肥大是由于酯化脂质(甘油三酯)积聚到膜封闭的细胞内脂滴(LD)中所致。脂肪细胞代谢和LD形态之间的耦合可以被利用来研究脂质途径的生化调节,通过监测LD的动态。本文介绍了一种图像处理方法来识别LD的基础上,这些细胞体的几个独特的光学和形态特征,因为它们出现在明场。该算法是针对诱导分化为脂肪细胞的3 T3-L1前脂肪细胞培养物的图像开发的。我们表明,计算的脂质体积与细胞内甘油三酯总含量的酶法测定数据非常一致。我们还表明,图像处理方法可以有效地表征在文化中的LD的高度异质性的空间分布,通过显示分化发生在不同的集群分离的区域几乎未分化的细胞。此外,在这项工作中所描述的LD检测方法可以应用于用简单的可见光显微镜设备收集的时间推移数据,以定量研究LD动力学。
Cellular hypertrophy of adipose tissue underlies many of the proposed proinflammatory mechanisms for obesity-related diseases. Adipose hypertrophy results from an accumulation of esterified lipids (triglycerides) into membrane-enclosed intracellular lipid droplets (LDs). The coupling between adipocyte metabolism and LD morphology could be exploited to investigate biochemical regulation of lipid pathways by monitoring the dynamics of LDs. This article describes an image processing method to identify LDs based on several distinctive optical and morphological characteristics of these cellular bodies as they appear under bright-field. The algorithm was developed against images of 3T3-L1 preadipocyte cultures induced to differentiate into adipocytes. We show that the calculated lipid volumes are in excellent agreement with enzymatic assay data on total intracellular triglyceride content. We also demonstrate that the image processing method can efficiently characterize the highly heterogeneous spatial distribution of LDs in a culture by showing that differentiation occurs in distinct clusters separated by regions of nearly undifferentiated cells. Prospectively, the LD detection method described in this work could be applied to time-lapse data collected with simple visible light microscopy equipment to quantitatively investigate LD dynamics.