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摘要翻译：
将高度复用的组织成像与单细胞测序和其他来自人体组织和肿瘤的组学数据结合在一起的图谱的即将发布，迫切需要符合新兴和传统组织学方法的数据和元数据标准。我们描述了一个关于高度复用组织成像(MITI)标准的最小信息的发展，该标准借鉴了培养细胞和模式生物的基因组学和显微镜的最佳实践。
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英文标题：
《MITI Minimum Information guidelines for highly multiplexed tissue images》
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作者：
Denis Schapiro, Clarence Yapp, Artem Sokolov, Sheila M. Reynolds,
Yu-An Chen, Damir Sudar, Yubin Xie, Jeremy Muhlich, Raquel Arias-Camison,
Milen Nikolov, Madison Tyler, Jia-Ren Lin, Erik A. Burlingame, Sarah Arena,
Human Tumor Atlas Network, Young H. Chang, Samouil L Farhi, V\'esteinn
Thorsson, Nithya Venkatamohan, Julia L. Drewes, Dana Pe'er, David A. Gutman,
Markus D. Herrmann, Nils Gehlenborg, Peter Bankhead, Joseph T. Roland, John
M. Herndon, Michael P. Snyder, Michael Angelo, Garry Nolan, Jason Swedlow,
Nikolaus Schultz, Daniel T. Merrick, Sarah A. Mazzilli, Ethan Cerami, Scott
J. Rodig, Sandro Santagata and Peter K. Sorger
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最新提交年份：
2021
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分类信息：
一级分类：Quantitative Biology 数量生物学
二级分类：Other Quantitative Biology 其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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一级分类：Electrical Engineering and Systems Science 电气工程与系统科学
二级分类：Image and Video Processing 图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
The imminent release of atlases combining highly multiplexed tissue imaging with single cell sequencing and other omics data from human tissues and tumors creates an urgent need for data and metadata standards compliant with emerging and traditional approaches to histology. We describe the development of a Minimum Information about highly multiplexed Tissue Imaging (MITI) standard that draws on best practices from genomics and microscopy of cultured cells and model organisms.
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PDF链接：
https://arxiv.org/pdf/2108.09499
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