ArticleScientific reports2019
Live-cell imaging of subcellular structures for quantitative evaluation of pluripotent stem cells.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit.bioRxiv : the preprint server for biology · 2026Article
- Measurement of Oxygen Transfer Rate and Specific Oxygen Uptake Rate of h-iPSC Aggregates in Vertical Wheel Bioreactors to Predict Maximum Cell Density Before Oxygen Limitation.Bioengineering (Basel, Switzerland) · 2025Article
- Regenerative Medicine and Nanotechnology Approaches against Cardiovascular Diseases: Recent Advances and Future Prospective.Current stem cell research & therapy · 2025Review
- Noninvasive, label-free image approaches to predict multimodal molecular markers in pluripotency assessment.Scientific reports · 2024Article
- Viewing early life without labels: optical approaches for imaging the early embryo†.Biology of reproduction · 2024Review
- Optical redox imaging to screen synthetic hydrogels for stem cell-derived cardiomyocyte differentiation and maturation.Biophotonics discovery · 2024Article
- Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods.Biomedicines · 2023Article
- Time-dependent cell-state selection identifies transiently expressed genes regulating ILC2 activation.Communications biology · 2023Article
- Label-free optical imaging and sensing for quality control of stem cell manufacturing.Current opinion in biomedical engineering · 2023Article
- Locus-Specific Isolation of theInternational journal of molecular sciences · 2022Article
- Video bioinformatics analysis of human pluripotent stem cell morphology, quality, and cellular dynamics.Stem cells translational medicine · 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 frontier of live tissue imaging across space and time.Cell stem cell · 2021Review
- Transcriptomic and Morphological Analysis of Cells Derived from Porcine Buccal Mucosa-Studies on an In Vitro Model.Animals : an open access journal from MDPI · 2020Article
- Mechanisms of the Metabolic Shift during Somatic Cell Reprogramming.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pluripotent stem cells (PSCs) have various degrees of pluripotency, which necessitates selection of PSCs with high pluripotency before their application to regenerative medicine. However, the quality control processes for PSCs are costly and time-consuming, and it is essential to develop inexpensive and less laborious selection methods for translation of PSCs into clinical applications. Here we developed an imaging system, termed Phase Distribution (PD) imaging system, which visualizes subcellular structures quantitatively in unstained and unlabeled cells. The PD image and its derived PD index reflected the mitochondrial content, enabling quantitative evaluation of the degrees of somatic cell reprogramming and PSC differentiation. Moreover, the PD index allowed unbiased grouping of PSC colonies into those with high or low pluripotency without the aid of invasive methods. Finally, the PD imaging system produced three-dimensional images of PSC colonies, providing further criteria to evaluate pluripotency of PSCs. Thus, the PD imaging system may be utilized for screening of live PSCs with potentially high pluripotency prior to more rigorous quality control processes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.