Hypothesis testing via integrated computer modeling and digital fluorescence microscopy
Hypothesis testing via integrated computer modeling and digital fluorescence microscopy
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DOI：
10.1016/j.ymeth.2006.08.002
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发表时间：
2007-02-01
期刊：
影响因子：
4.8
通讯作者：
Bloom, Kerry
中科院分区：
文献类型：
--
作者：
Gardner, Melissa K.;Odde, David J.;Bloom, Kerry
计算建模有可能为酵母细胞生物学的假设检验增加一种全新的方法。在这里，我们提出了一种无缝集成的计算建模与定量数字荧光显微镜的方法。这种整合是通过开发基于可能引起实验观察到的荧光蛋白定位模式的潜在细胞过程的假设的计算模型来实现的。模拟荧光图像是通过“模型卷积”过程从底层细胞过程的计算模型生成的。然后，这些模拟图像可以直接与实验荧光图像进行比较，以测试模型。该方法通过集成的数学建模和数字荧光显微镜为酵母细胞生物学中的严格假设检验提供了框架。(c)2006年爱思唯尔公司All rights reserved.
Computational modeling has the potential to add an entirely new approach to hypothesis testing in yeast cell biology. Here, we present a method for seamless integration of computational modeling with quantitative digital fluorescence microscopy. This integration is accomplished by developing computational models based on hypotheses for underlying cellular processes that may give rise to experimentally observed fluorescent protein localization patterns. Simulated fluorescence images are generated from the computational models of underlying cellular processes via a "model-convolution" process. These simulated images can then be directly compared to experimental fluorescence images in order to test the model. This method provides a framework for rigorous hypothesis testing in yeast cell biology via integrated mathematical modeling and digital fluorescence microscopy. (c) 2006 Elsevier Inc. All rights reserved.