Department of Biomedical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Tissue Eng Part C Methods. 2010 Oct;16(5):1167-81. doi: 10.1089/ten.TEC.2009.0755.
Adipose tissue engineering is investigated for native fat substitutes and wound healing model systems. Research and clinical applications of bioartificial fat require a quantitative and objective method to continuously measure adipogenesis in living cultures as opposed to currently used culture-destructive techniques that stain lipid droplet (LD) accumulation. To allow standardization, automatic quantification of LD size is further needed, but currently LD size is measured mostly manually. We developed an image processing-based method that does not require staining to monitor adipose cell maturation in vitro nondestructively using optical micrographs taken consecutively during culturing. We employed our method to monitor LD accumulation in 3T3-L1 and mesenchymal stem cells over 37 days. For each cell type, percentage of lipid area, number of droplets per cell, and droplet diameter were obtained every 2-3 days. In 3T3-L1 cultures, high insulin concentration (10 microg/mL) yielded a significantly different (p < 0.01) time course of all three outcome measures. In mesenchymal stem cell cultures, high fetal bovine serum concentration (12.5%) produced significantly more lipid area (p < 0.01). Our method was able to successfully characterize time courses and extents of adipogenesis and is useful for a wide range of applications testing the effects of biochemical, mechanical, and thermal stimulations in tissue engineering of bioartificial fat constructs.
脂肪组织工程被用于天然脂肪替代品和伤口愈合模型系统的研究。生物人工脂肪的研究和临床应用需要一种定量和客观的方法,以便在活体培养物中连续测量脂肪生成,而不是目前使用的破坏性培养技术,这些技术会对脂滴(LD)的积累进行染色。为了实现标准化,还需要自动量化 LD 大小,但目前 LD 大小主要是手动测量的。我们开发了一种基于图像处理的方法,该方法无需染色即可使用在培养过程中连续拍摄的光学显微镜对体外脂肪细胞成熟进行无损监测。我们使用该方法在 37 天内监测了 3T3-L1 和间充质干细胞中的 LD 积累。对于每种细胞类型,每隔 2-3 天就会获得脂质面积百分比、每个细胞的液滴数量和液滴直径。在 3T3-L1 培养物中,高胰岛素浓度(10μg/mL)导致所有三种结果测量的时间过程显著不同(p<0.01)。在间充质干细胞培养物中,高胎牛血清浓度(12.5%)产生的脂质面积明显更多(p<0.01)。我们的方法能够成功地描述脂肪生成的时间过程和程度,并且对于测试生物人工脂肪构建体的组织工程中生化、机械和热刺激的效果的广泛应用非常有用。