DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.
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DOI：
10.1371/journal.pone.0010557
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发表时间：
2010-05-10
期刊：
影响因子：
3.7
通讯作者：
Hidalgo A
中科院分区：
文献类型：
--
作者：
Forero MG;Learte AR;Cartwright S;Hidalgo A
细胞数量在正常发育和疾病（如神经变性、癌症）中发生变化。许多基因影响细胞数量，因此功能遗传学分析经常需要分析失去功能突变或获得功能实验时细胞数量的变化。果蝇是研究体内发育或疾病相关基因功能的最有力的模式生物。图像处理和模式识别技术可用于从显微镜图像中提取信息，以自动量化不同的细胞特征，但这些方法在这种模式生物中仍然没有得到很好的推广。因此，细胞定量通常是手工进行的，这是费力的，繁琐的，容易出错或人力不可行的。在这里，我们提出了DeadEasy Mito-Glia，这是一种图像处理方法，用于自动计数果蝇胚胎中标记有丝分裂细胞的抗磷酸化组蛋白H3和标记抗repo的胶质细胞的数量。这个程序属于DeadEasy套件，我们以前开发的版本计数凋亡细胞和神经元核。独立的程序对准确性至关重要。DeadEasy Mito-Glia是非常容易使用，快速，客观和非常准确的计数分裂细胞和胶质细胞标记的核标记。虽然这种方法已经在果蝇胚胎中得到了验证，但我们为生物学家提供了一个交互窗口，可以轻松地将其应用于其他核标记和其他样品类型。DeadEasy MitoGlia是一个免费的ImageJ插件，它增加了体内遗传分析的工具库，它将引起广泛的发展，癌症和神经生物学家的兴趣。
Cell number changes during normal development, and in disease (e.g., neurodegeneration, cancer). Many genes affect cell number, thus functional genetic analysis frequently requires analysis of cell number alterations upon loss of function mutations or in gain of function experiments. Drosophila is a most powerful model organism to investigate the function of genes involved in development or disease in vivo. Image processing and pattern recognition techniques can be used to extract information from microscopy images to quantify automatically distinct cellular features, but these methods are still not very extended in this model organism. Thus cellular quantification is often carried out manually, which is laborious, tedious, error prone or humanly unfeasible. Here, we present DeadEasy Mito-Glia, an image processing method to count automatically the number of mitotic cells labelled with anti-phospho-histone H3 and of glial cells labelled with anti-Repo in Drosophila embryos. This programme belongs to the DeadEasy suite of which we have previously developed versions to count apoptotic cells and neuronal nuclei. Having separate programmes is paramount for accuracy. DeadEasy Mito-Glia is very easy to use, fast, objective and very accurate when counting dividing cells and glial cells labelled with a nuclear marker. Although this method has been validated for Drosophila embryos, we provide an interactive window for biologists to easily extend its application to other nuclear markers and other sample types. DeadEasy MitoGlia is freely available as an ImageJ plug-in, it increases the repertoire of tools for in vivo genetic analysis, and it will be of interest to a broad community of developmental, cancer and neuro-biologists.
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影响因子：
12.3
作者：
Carpenter AE;Jones TR;Lamprecht MR;Clarke C;Kang IH;Friman O;Guertin DA;Chang JH;Lindquist RA;Moffat J;Golland P;Sabatini DM
通讯作者：
Sabatini DM
DOI：
10.1016/j.physa.2004.11.033
发表时间：
2005-05-01
影响因子：
3.3
作者：
Shimada, T;Kato, K;Ito, K
通讯作者：
Ito, K
影响因子：
3.7
作者：
Lin, G;Adiga, U;Roysam, B
通讯作者：
Roysam, B
影响因子：
10.6
作者：
Vincent, Luc
通讯作者：
Vincent, Luc
影响因子：
2
作者：
Wählby, C;Sintorn, IM;Bengtsson, E
通讯作者：
Bengtsson, E