模型-卷积方法模拟荧光蛋白动力学

B. Sprague, M. Gardner, C. Pearson, P. Maddox, K. Bloom, E. Salmon, D. Odde
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引用次数: 6

摘要

荧光显微镜是一种流行的技术,用于可视化蛋白质动态在活细胞。然而,即使在反褶积之后,观察到的荧光背后的荧光团的精确分布并不总是明显的,特别是当对250 nm或更小尺度的特征感兴趣时。相反,蛋白质动力学的定量模型预测了实际的荧光团分布。“模型卷积”方法通过将模型预测的荧光团位置数据与显微镜系统的点扩展函数进行卷积,从而生成模拟图像并直接与实验图像进行比较,从而弥补了这一空白。本文提供了一个实用的模型卷积指南。
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Model-convolution approach to modeling fluorescent protein dynamics
Fluorescence microscopy is a popular technique for visualizing protein dynamics in living cells. However, the precise distribution of fluorophores underlying the observed fluorescence is not always obvious, even after deconvolution, particularly when features on a scale of 250 nm or less are of interest In contrast, quantitative models of protein dynamics predict an actual fluorophore distribution. "Model-convolution" is a method that bridges this gap by convolving model-predicted fluorophore location data with the point spread function of the microscope system so that simulated images can be generated and directly compared to experimental images. This article offers a practical guide to model-convolution.
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