Color standardization and optimization in whole slide imaging.

Color standardization and optimization in whole slide imaging.
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整个幻灯片成像中的颜色标准化和优化。

DOI:
10.1186/1746-1596-6-s1-s15
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发表时间:
2011-03-30
影响因子:
2.6
通讯作者:
Yagi Y
Yagi Y
中科院分区:
医学4区
文献类型:
--
作者:
Yagi Y

文献摘要

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通过数字载玻片显示的颜色的标准化和验证是数字病理学实施的重要方面。虽然颜色变化的最常见原因是组织学实验室中的协议和实践的差异,但显示的颜色也可能受到捕获参数(例如,照明和滤波器),图像处理和数字系统本身显示因素的变化的影响。我们一直沿着沿着两条道路开发颜色验证和优化技术。第一个是基于两个标准的幻灯片,扫描和显示的成像系统的问题。在这种方法中,一个载玻片嵌入了九个滤光片,这些滤光片的颜色是专门为H&E染色的载玻片选择的(看起来像微小的麦克白色卡);九个滤光片的特定颜色在我们以前的研究中确定,并针对全载玻片成像(WSI)进行了修改。另一张幻灯片是H&E染色的小鼠胚胎。对这两张载玻片进行扫描,并将显示的图像与标准进行比较。第二种方法是基于我们以前的多光谱成像研究。作为第一步,使用两个载玻片方法(上文)来识别颜色的不准确显示及其原因,并了解数字病理学中准确颜色的重要性。我们还改进了基于多光谱的算法,以获得更一致的染色标准化结果。在不久的将来,这两个幻灯片和多光谱技术的结果可以结合起来,并将广泛提供。我们一直在进行一系列研究和开发项目来提高图像质量,以建立图像质量标准化。本文讨论了图像质量的一个重要方面--色彩。
Standardization and validation of the color displayed by digital slides is an important aspect of digital pathology implementation. While the most common reason for color variation is the variance in the protocols and practices in the histology lab, the color displayed can also be affected by variation in capture parameters (for example, illumination and filters), image processing and display factors in the digital systems themselves. We have been developing techniques for color validation and optimization along two paths. The first was based on two standard slides that are scanned and displayed by the imaging system in question. In this approach, one slide is embedded with nine filters with colors selected especially for H&E stained slides (looking like tiny Macbeth color chart); the specific color of the nine filters were determined in our previous study and modified for whole slide imaging (WSI). The other slide is an H&E stained mouse embryo. Both of these slides were scanned and the displayed images were compared to a standard. The second approach was based on our previous multispectral imaging research. As a first step, the two slide method (above) was used to identify inaccurate display of color and its cause, and to understand the importance of accurate color in digital pathology. We have also improved the multispectral-based algorithm for more consistent results in stain standardization. In near future, the results of the two slide and multispectral techniques can be combined and will be widely available. We have been conducting a series of researches and developing projects to improve image quality to establish Image Quality Standardization. This paper discusses one of most important aspects of image quality – color.