本文選題：線粒體　切入點：矩陣分解　出處：《中國科學(xué)技術(shù)大學(xué)學(xué)報》2014年10期

【摘要】：利用圖像處理技術(shù),檢測熒光顯微序列中的活性線粒體是生物醫(yī)學(xué)領(lǐng)域重要的研究手段之一.受到熒光顯微鏡成像技術(shù)的限制,序列中每幀圖像均包含細(xì)胞質(zhì)陰影和熒光標(biāo)記的線粒體,具有很低的信噪比,難以滿足一般粒子檢測算法的要求.為了精確檢測活細(xì)胞中的線粒體,提出一種基于矩陣分解的熒光顯微序列線粒體檢測算法,并利用增廣拉格朗日乘子法,快速準(zhǔn)確地實現(xiàn)該算法,將線粒體從細(xì)胞質(zhì)陰影中有效分離出來,實現(xiàn)線粒體的精確檢測.實驗結(jié)果表明,此方法為活細(xì)胞中線粒體的精確檢測提供了快速、高效的分析工具.
[Abstract]:By using the image processing technology is one of the most important research tools in biomedical field activity of mitochondrial fluorescence microscopy in the sequence. By fluorescence microscopy imaging technology limited, in the sequence of each frame image contains a cytoplasmic shadow and fluorescent labeling of mitochondria, with a very low signal-to-noise ratio, it is difficult to meet the general requirements of the particle detection algorithm to accurately. Detection of mitochondria in living cells, a sequence of mitochondrial fluorescence microscopic detection algorithm based on matrix decomposition, and using the augmented Lagrange multiplier method, the algorithm quickly and accurately, the mitochondria from the cytoplasm in the shadow of effective separation, accurate detection of mitochondria. Experimental results show that this method for accurate detection of mitochondria in living cells the analysis provides a quick and efficient tool.

【作者單位】： 南京大學(xué)電子科學(xué)與工程學(xué)院;
【基金】：國家自然科學(xué)基金(61271231,61300157,61201425) 江蘇省自然科學(xué)基金(BK2011337)資助
【分類號】：R318.0

【參考文獻(xiàn)】

中國期刊全文數(shù)據(jù)庫 前1條

1 徐俊梅;李楊;都思丹;趙康P，

本文編號：1667361