ArticleScientific data2025
The Spheroid Light Microscopy Image Atlas for morphometrical analysis of three-dimensional cell cultures.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Stemness-associated MEF-derived extruded nanovesicles cooperate withNanoscale advances · 2026Article
- From bench to bedside: advancing our understanding of radioresistance in rectal cancer.Cancer metastasis reviews · 2026Review
- Lutetium-177 Radiolabeled Gold Nanoparticles for Prostate Cancer Theranostics.Nanomaterials (Basel, Switzerland) · 2026Article
- Engineered N-TIMP2 Variant Specifically Targeting MMP-9 Exhibits Potent Anti-Glioblastoma Activity.Biomolecules · 2025Article
- Utility of Multicellular Spheroids for Investigating Mechanisms of Chemoresistance in Triple-Negative Breast Cancer.International journal of molecular sciences · 2025Review
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Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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