Not seeing is not believing: improving the visibility of your fluorescence images
Not seeing is not believing: improving the visibility of your fluorescence images
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DOI：
10.1091/mbc.e11-09-0824
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发表时间：
2012-03-01
影响因子：
3.3
通讯作者：
Johnson, Jayme
中科院分区：
文献类型：
--
作者：
Johnson, Jayme
数字时代带来了细胞生物学领域的数据采集和图像呈现方面的技术进步和伦理困境。在过去的十年中，图像处理引起了相当大的关注，导致了道德数据处理的一般准则。然而，有效的图像表示方法只被粗略地讨论过，并且在很大程度上被忽视了。在标准观察条件下，人类视觉系统对分析荧光图像的读者施加了限制。在本文中，我将讨论图像处理技术相对于人类视觉系统的优点和局限性，包括对比度拉伸，非线性灰度变换和伪着色。虽然在线数据查看提供了获取图像信息的创新方式，但大多数图像仍然是在静态出版物中查看的，在静态出版物中，图像显示对于有效的信息传输至关重要。
The digital age has brought both technical advances and ethical quandaries regarding data acquisition and image presentation in the field of cell biology. Image manipulation has drawn considerable attention in the past decade, leading to general guidelines for ethical data processing. However, effective methods of image presentation have been discussed only cursorily and have been largely overlooked. Under standard viewing conditions, the human visual system imposes limitations for readers analyzing fluorescence images. In this paper, I discuss the advantages and limitations of image-manipulation techniques with respect to the human visual system, including contrast stretching, nonlinear grayscale transformations, and pseudocoloring. While online data viewing presents innovative ways to access image information, most images continue to be viewed in static publications, in which image presentation is critical for effective information transmission.