ArticleStem cell research & therapy2018
Automated image analysis detects aging in clinical-grade mesenchymal stromal cell cultures.
Article in Stem cell research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed, 78 citations in OpenAlex.
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- Maximum Matching Accuracy: An Instance Segmentation Evaluation Metric Utilizing Globally Optimal Matching.ArXiv · 2026Article
- Morphometric prediction of mesenchymal stromal cell-like immunosuppressive capacity of human hair follicle dermal sheath cup cells: an implication for regenerative medicine in hair loss diseases.Stem cell research & therapy · 2025Article
- Differential Phase Contrast Imaging to Predict MSC Immune Function.Advanced healthcare materials · 2025Article
- Current Trends and Future Opportunities of AI-Based Analysis in Mesenchymal Stem Cell Imaging: A Scoping Review.Journal of imaging · 2025Review
- Mesenchymal stem cells derived from hPSC via neural crest attenuate chemotherapy-induced premature ovarian insufficiency by ameliorating apoptosis and oxidative stress in granulosa cells.Stem cell research & therapy · 2025Article
- Mesenchymal Stem Cells Senescence: Mechanism and Rejuvenation Interventions.International journal of medical sciences · 2025Review
- Small adipose-derived mesenchymal stromal cells exhibit longer telomeres and enhanced regenerative potential.Frontiers in bioengineering and biotechnology · 2025Article
- The Matrix Protein Tropoelastin Prolongs Mesenchymal Stromal Cell Vitality and Delays Senescence During Replicative Aging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Leveraging Cell Migration Dynamics to Discriminate Between Senescent and Presenescent Human Mesenchymal Stem Cells.Cellular and molecular bioengineering · 2024Article
- Cellular senescence and SASP in tumor progression and therapeutic opportunities.Molecular cancer · 2024Review
- Morphology-based deep learning enables accurate detection of senescence in mesenchymal stem cell cultures.BMC biology · 2024Article
- Long-term passage impacts human dental pulp stem cell activities and cell response to drug additionPeerJ · 2024Article
- Bone marrow from periacetabular osteotomies as a novel source for human mesenchymal stromal cells.Stem cell research & therapy · 2023Article
- Mesenchymal Stem Cell Senescence during Aging:From Mechanisms to Rejuvenation Strategies.Aging and disease · 2023Review
- Subcellular spatially resolved gene neighborhood networks in single cells.Cell reports methods · 2023Article
- Review
- Phenotyping senescent mesenchymal stromal cells using AI image translation.Current research in biotechnology · 2023Article
- Cellular microenvironment: a key for tuning mesenchymal stem cell senescence.Frontiers in cell and developmental biology · 2023Review
- A Quick and Efficient Method for the Generation of Immunomodulatory Mesenchymal Stromal Cell from Human Induced Pluripotent Stem Cell.Tissue engineering. Part A · 2022Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSenescent cells are undesirable in cell therapy products due to reduced therapeutic activity and risk of aberrant cellular effects, and methods for assessing senescence are needed. Early-passage mesenchymal stromal cells (MSCs) are known to be small and spindle-shaped but become enlarged upon cell aging. Indeed, cell morphology is routinely evaluated during MSC production using subjective methods. We have therefore explored the possibility of utilizing automated imaging-based analysis of cell morphology in clinical cell manufacturing.
methodsAn imaging system was adopted for analyzing changes in cell morphology of bone marrow-derived MSCs during long-term culture. Cells taken from the cultures at the desired passages were plated at low density for imaging, representing morphological changes observed in the clinical-grade cultures. The manifestations of aging and onset of senescence were monitored by population doubling numbers, expression of p16
resultsCell area was the most statistically significant and practical parameter for describing morphological changes, correlating with biochemical senescence markers. MSCs from passages 1 (p1) and 3 (p3) were remarkably uniform in size, with cell areas between 1800 and 2500 μm
conclusionsImaging analysis of cell morphology is a useful tool for evaluating aging in cell cultures throughout the lifespan of MSCs. Our findings suggest that imaging analysis can reproducibly detect aging-related changes in cell morphology in MSC cultures. These findings suggest that cell morphology is still a supreme measure of cell quality and may be utilized to develop new noninvasive imaging-based methods to screen and quantitate aging in clinical-grade cell cultures.
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