利用光谱时间复用超分辨率增强未染色的血液涂片对比度

Q3 Chemistry
Marie-Florence A. Yebouet, A. Diby, Kenneth A. Kaduki, J. Zoueu
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引用次数: 0

摘要

我们报告了使用时间复用超分辨率(TMSR)来显著降低疟疾感染血液的未染色薄血涂片样本的光谱成像显微镜中的斑点噪声。该方法基于将散斑照明与作为编码掩码的移动数组相结合。我们提出使用一种新的编码掩码来提高传统TMSR方法的性能。新的掩码是一维伊帕托夫码的二维泛化。掩模被投射到物体上,13张低分辨率图像被捕获,随后使用相同的阵列进行解码。在重建结果中加入并提取低对比度图像,得到超分辨率、高对比度图像。在这项工作中使用的伊帕托夫滤波器比巴克滤波器性能更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unstained blood smear contrast enhancement using spectral time multiplexing super resolution
We report the use of Time Multiplexing Super Resolution (TMSR) to reduce significantly speckle noise in spectral imaging microscopy of unstained thin blood smear samples of malaria-infected blood. The method is based on combining speckle illumination with a moving array serving as an encoding mask. We propose the use of a new encoding mask to improve the performance of the conventional TMSR method. The new mask is a two-dimensional generalisation of the one- dimensional Ipatov code. The mask is projected on the object and 13 low-resolution images captured and subsequently decoded properly using the same array. The low contrast images are added and extracted from the resulting reconstruction, giving a super-resolved, high-contrast image. The Ipatov filter used in this work performs better than the Barker filter.
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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