ArticleScientific reports2014
Computational image analysis of colony and nuclear morphology to evaluate human induced pluripotent stem cells.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit.bioRxiv : the preprint server for biology · 2026Article
- Advancements in theFrontiers in toxicology · 2025Review
- A comprehensive analysis of induced pluripotent stem cell (iPSC) production and applications.Frontiers in cell and developmental biology · 2025Review
- The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic scoping review.PloS one · 2024Article
- Automated human induced pluripotent stem cell colony segmentation for use in cell culture automation applications.SLAS technology · 2023Article
- Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods.Biomedicines · 2023Article
- Methylated histones on mitotic chromosomes promote topoisomerase IIα function for high fidelity chromosome segregation.iScience · 2023Article
- Predicting reprogramming-related gene expression from cell morphology in human induced pluripotent stem cells.Molecular biology of the cell · 2023Article
- Quality Control of Human Pluripotent Stem Cell Colonies by Computational Image Analysis Using Convolutional Neural Networks.International journal of molecular sciences · 2022Article
- A comprehensive review of computational and image analysis techniques for quantitative evaluation of striated muscle tissue architecture.Biophysics reviews · 2022Review
- Recent Advances in Raman Spectral Imaging in Cell Diagnosis and Gene Expression Prediction.Genes · 2022Review
- Prognostic Analysis of Human Pluripotent Stem Cells Based on Their Morphological Portrait and Expression of Pluripotent Markers.International journal of molecular sciences · 2022Article
- Ribosomal protein L5 facilitates rDNA-bundled condensate and nucleolar assembly.Life science alliance · 2022Article
- Label-free morphological sub-population cytometry for sensitive phenotypic screening of heterogenous neural disease model cells.Scientific reports · 2022Article
- Temporal and Locational Values of Images Affecting the Deep Learning of Cancer Stem Cell Morphology.Biomedicines · 2022Article
- Label-Free Imaging to Track Reprogramming of Human Somatic Cells.GEN biotechnology · 2022Article
- Moving Towards Induced Pluripotent Stem Cell-based Therapies with Artificial Intelligence and Machine Learning.Stem cell reviews and reports · 2022Review
- Semi-3D cultures using Laminin 221 as a coating material for human induced pluripotent stem cells.Regenerative biomaterials · 2022Article
- Altered cytoskeletal arrangement in induced pluripotent stem cells (iPSCs) and motor neurons from patients with riboflavin transporter deficiency.Disease models & mechanisms · 2021Article
- PML nuclear bodies and chromatin dynamics: catch me if you can!Nucleic acids research · 2020Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Non-invasive evaluation of cell reprogramming by advanced image analysis is required to maintain the quality of cells intended for regenerative medicine. Here, we constructed living and unlabelled colony image libraries of various human induced pluripotent stem cell (iPSC) lines for supervised machine learning pattern recognition to accurately distinguish bona fide iPSCs from improperly reprogrammed cells. Furthermore, we found that image features for efficient discrimination reside in cellular components. In fact, extensive analysis of nuclear morphologies revealed dynamic and characteristic signatures, including the linear form of the promyelocytic leukaemia (PML)-defined structure in iPSCs, which was reversed to a regular sphere upon differentiation. Our data revealed that iPSCs have a markedly different overall nuclear architecture that may contribute to highly accurate discrimination based on the cell reprogramming status.
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Registered trials
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