ArticleScientific reports2016
Parametric analysis of colony morphology of non-labelled live human pluripotent stem cells for cell quality control.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Machine Learning Models of Phase Contrast Images Predict Efficiency of Human Pluripotent Stem Cell Differentiation to Cardiomyocytes.Biotechnology and bioengineering · 2026Article
- ColonyQuant: automated quantification and morphometric analysis of pluripotent stem cell colonies.BMC bioinformatics · 2026Article
- Automated Image-Based Profiling of Pluripotent Stem Cell Colonies.bioRxiv : the preprint server for biology · 2025Article
- Label-free morphology-based phenotypic analysis of spinal and bulbar muscular atrophy muscle cell models.Disease models & mechanisms · 2025Article
- 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
- Trisomy 12 compromises the mesendodermal differentiation propensity of human pluripotent stem cells.In vitro cellular & developmental biology. Animal · 2024Article
- Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods.Biomedicines · 2023Article
- Improved Production of Induced Pluripotent Stem Cells Using Dot Pattern Culture Plates.Tissue engineering. Part C, Methods · 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
- Prognostic Analysis of Human Pluripotent Stem Cells Based on Their Morphological Portrait and Expression of Pluripotent Markers.International journal of molecular sciences · 2022Article
- An efficient simplified method for the generation of corneal epithelial cells from human pluripotent stem cells.Human cell · 2022Article
- Label-free morphological sub-population cytometry for sensitive phenotypic screening of heterogenous neural disease model cells.Scientific reports · 2022Article
- Label-Free Imaging to Track Reprogramming of Human Somatic Cells.GEN biotechnology · 2022Article
- Semi-3D cultures using Laminin 221 as a coating material for human induced pluripotent stem cells.Regenerative biomaterials · 2022Article
- Miniaturized droplet microarray platform enables maintenance of human induced pluripotent stem cell pluripotency.Materials today. Bio · 2021Article
- Characterization of heterogeneous primary human cartilage-derived cell population using non-invasive live-cell phase-contrast time-lapse imaging.Cytotherapy · 2021Article
- Cells/colony motion of oral keratinocytes determined by non-invasive and quantitative measurement using optical flow predicts epithelial regenerative capacity.Scientific reports · 2021Article
- The importance of scoring recognition fitness in spheroid morphological analysis for robust label-free quality evaluation.Regenerative therapy · 2020Article
Corrections and comments
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Given the difficulties inherent in maintaining human pluripotent stem cells (hPSCs) in a healthy state, hPSCs should be routinely characterized using several established standard criteria during expansion for research or therapeutic purposes. hPSC colony morphology is typically considered an important criterion, but it is not evaluated quantitatively. Thus, we designed an unbiased method to evaluate hPSC colony morphology. This method involves a combination of automated non-labelled live-cell imaging and the implementation of morphological colony analysis algorithms with multiple parameters. To validate the utility of the quantitative evaluation method, a parent cell line exhibiting typical embryonic stem cell (ESC)-like morphology and an aberrant hPSC subclone demonstrating unusual colony morphology were used as models. According to statistical colony classification based on morphological parameters, colonies containing readily discernible areas of differentiation constituted a major classification cluster and were distinguishable from typical ESC-like colonies; similar results were obtained via classification based on global gene expression profiles. Thus, the morphological features of hPSC colonies are closely associated with cellular characteristics. Our quantitative evaluation method provides a biological definition of 'hPSC colony morphology', permits the non-invasive monitoring of hPSC conditions and is particularly useful for detecting variations in hPSC heterogeneity.
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Registered trials
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