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视而不见非事实:提高荧光图像的可视性。

Not seeing is not believing: improving the visibility of your fluorescence images.

机构信息

Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA.

出版信息

Mol Biol Cell. 2012 Mar;23(5):754-7. doi: 10.1091/mbc.E11-09-0824.

Abstract

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.

摘要

数字时代在细胞生物学领域的数据获取和图像呈现方面带来了技术进步和伦理难题。在过去的十年中,图像处理引起了广泛关注,从而制定了有关伦理数据处理的一般准则。然而,有效的图像处理方法仅被粗略地讨论过,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缺点,包括对比度拉伸、非线性灰度变换和伪彩色。虽然在线数据查看为访问图像信息提供了创新的方法,但大多数图像仍以静态出版物的形式查看,其中图像呈现对于有效信息传输至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a207/3290635/945c8ae86026/754fig1.jpg

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