Chen Shu-wen W, Teulon Jean-Marie, Godon Christian, Pellequer Jean-Luc
10A Rue Ampère, 38000, Grenoble, France.
CEA, iBEB, Service de Biochimie et Toxicologie Nucléaire, F-30207, Bagnols sur Cèze, France.
J Mol Recognit. 2016 Jan;29(1):51-5. doi: 10.1002/jmr.2491. Epub 2015 Jul 30.
Image visibility is a central issue in analyzing all kinds of microscopic images. An increase of intensity contrast helps to raise the image visibility, thereby to reveal fine image features. Accordingly, a proper evaluation of results with current imaging parameters can be used for feedback on future imaging experiments. In this work, we have applied the Laplacian function of image intensity as either an additive component (Laplacian mask) or a multiplying factor (Laplacian weight) for enhancing image contrast of high-resolution AFM images of two molecular systems, an unknown protein imaged in air, provided by AFM COST Action TD1002 (http://www.afm4nanomedbio.eu/), and tobacco mosaic virus (TMV) particles imaged in liquid. Based on both visual inspection and quantitative representation of contrast measurements, we found that the Laplacian weight is more effective than the Laplacian mask for the unknown protein, whereas for the TMV system the strengthened Laplacian mask is superior to the Laplacian weight. The present results indicate that a mathematical function, as exemplified by the Laplacian function, may yield varied processing effects with different operations. To interpret the diversity of molecular structure and topology in images, an explicit expression for processing procedures should be included in scientific reports alongside instrumental setups.
图像的可视性是各类显微图像分析中的核心问题。强度对比度的提高有助于提升图像的可视性,进而揭示图像的精细特征。因此,利用当前成像参数对结果进行恰当评估,可用于为未来的成像实验提供反馈。在这项工作中,我们将图像强度的拉普拉斯函数用作增强两种分子系统高分辨率原子力显微镜(AFM)图像对比度的相加分量(拉普拉斯掩膜)或相乘因子(拉普拉斯权重),这两种分子系统分别是:由AFM COST Action TD1002(http://www.afm4nanomedbio.eu/)提供的在空气中成像的未知蛋白质,以及在液体中成像的烟草花叶病毒(TMV)颗粒。基于视觉检查和对比度测量的定量表示,我们发现对于未知蛋白质,拉普拉斯权重比拉普拉斯掩膜更有效,而对于TMV系统,增强后的拉普拉斯掩膜优于拉普拉斯权重。目前的结果表明,以拉普拉斯函数为例的数学函数,在不同操作下可能会产生不同的处理效果。为了解释图像中分子结构和拓扑的多样性,并与仪器设置一起,在科学报告中应包含处理程序的明确表达。