用于三维细胞培养形态计量学分析的球形光显微镜图像图谱。

IF 6.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Eva Blondeel, Arne Peirsman, Stephanie Vermeulen, Filippo Piccinini, Felix De Vuyst, Diogo Estêvão, Sayida Al-Jamei, Martina Bedeschi, Gastone Castellani, Tânia Cruz, Sándor Dedeyne, Maria José Oliveira, Satoru Kawakita, Huu Tuan Nguyen, Leoni A Kunz-Schughart, Soojung Lee, Noemi Marino, Patrick Steigemann, Shuichi Takayama, Anna Tesei, Nina Zablowsky, Phillip Blondeel, Olivier De Wever
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引用次数: 0

摘要

三维(3D)细胞培养的应用,如球体和类器官,在学术界和工业界都越来越受欢迎。然而,三维建筑的形态学研究仍然非常不足。在这里,我们介绍了一个开放获取的球形光显微镜图像图集(SLiMIA),可以作为三维细胞培养形态学研究的训练集。我们提供了多种元数据的图像:9种显微镜,47种细胞系,8种培养基,4种球形形成方法和多种细胞播种密度;总共有大约8000张球体图像。这个综合的数据集可以指导球体研究人员,并通过推动3D细胞培养的优化、标准化和整个社区的实施来促进资源节约。考虑到对球体形态测量分析的兴趣呈指数增长,以及新兴技术的可能性,该图谱可以应用于训练和开发图像分割模型,以加深我们对生物医学研究中3D球体形态测量的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures.

The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures.

The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures.

The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures.

The application of three-dimensional (3D) cell cultures such as spheroids and organoids is growing in popularity both in academia and industry. However, morphology of the 3D architecture remains remarkably understudied. Here, we introduce an open-access Spheroid Light Microscopy Image Atlas (SLiMIA) that can serve as a training set for morphology studies of 3D cell cultures. We provide images with a variety of metadata: 9 microscopes, 47 cell lines, 8 culture media, 4 spheroid formation methods and multiple cell seeding densities; totalling approximately 8,000 images of spheroids. This comprehensive dataset can guide spheroid researchers and promote economizing of resources by advancing 3D cell culture optimization, standardization and implementation by the community at large. Considering the exponentially growing interest in spheroid morphometrical analyses and the emerging technological possibilities to do so, this atlas can be applied to train and develop image segmentation models to deepen our understanding of 3D spheroid morphometry in biomedical research.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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