Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Morphology-Based Prediction of Osteogenic Differentiation Potential of Human Mesenchymal Stem Cells

21 Feb 2013

Abstract excerpt

Human bone marrow mesenchymal stem cells (hBMSCs) are widely used cell source for clinical bone regeneration. Achieving the greatest therapeutic effect is dependent on the osteogenic differentiation potential of the stem cells to be implanted. However, there are still no practical methods to characterize such potential non-invasively or previously. Monitoring cellular morphology is a practical and non-invasive...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Mesenchymal stem cell research

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 23437049
DOI: 10.1371/journal.pone.0055082

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Morphology-Based Prediction of Osteogenic Differentiation Potential of Human Mesenchymal Stem CellsPMID 23437049Read ↗

Label-Free Morphology-Based Prediction of Multiple Differentiation Potentials of Human Mesenchymal Stem Cells for Early Evaluation of Intact CellsSemantic proximity Read ↗

High Content Imaging of Early Morphological Signatures Predicts Long Term Mineralization Capacity of Human Mesenchymal Stem Cells upon Osteogenic InductionSemantic proximity Read ↗

Single-cell high-content imaging parameters predict functional phenotype of cultured human bone marrow stromal stem cells.Semantic proximity Read ↗

Cytoskeleton-based forecasting of stem cell lineage fatesSemantic proximity Read ↗

Identification of a clinical signature predictive of differentiation fate of human bone marrow stromal cellsSemantic proximity Read ↗

Predicting gene expression from cell morphology in human induced pluripotent stem cellsSemantic proximity Read ↗

Assessing Biomaterial‐Induced Stem Cell Lineage Fate by Machine Learning‐Based Artificial IntelligenceSemantic proximity Read ↗

On the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cells.Semantic proximity Read ↗

On the correlation between material-induced cell shape and phenotypical response of human mesenchymal stem cellsSemantic proximity Read ↗

Correlating cell architecture with osteogenesis: first steps towards live single cell monitoringSemantic proximity Read ↗

Morphology-Based Analysis of Myoblasts for Prediction of Myotube Formation.Semantic proximity Read ↗

Non-invasive single-cell biomechanical analysis using live-imaging datasets.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.