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

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

4 Apr 2014

Abstract excerpt

Precise quantification of cellular potential of stem cells, such as human bone marrow-derived mesenchymal stem cells (hBMSCs), is important for achieving stable and effective outcomes in clinical stem cell therapy. Here, we report a method for image-based prediction of the multiple differentiation potentials of hBMSCs. This method has four major advantages: (1) the cells used for potential prediction are fully...

Read the complete abstract on PubMed

Topics

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

Share to 3D Printing in Biomedical Research
Share to Cell Image Analysis Techniques
Share to Mesenchymal stem cell research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 24705458
DOI: 10.1371/journal.pone.0093952

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Label-Free Morphology-Based Prediction of Multiple Differentiation Potentials of Human Mesenchymal Stem Cells for Early Evaluation of Intact CellsPMID 24705458Read ↗

Morphology-Based Prediction of Osteogenic Differentiation Potential of Human Mesenchymal Stem CellsSemantic proximity Read ↗

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

Automated image analysis detects aging in clinical-grade mesenchymal stromal cell culturesSemantic proximity Read ↗

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

Morphological and immunocytochemical characteristics indicate the yield of early progenitors and represent a quality control for human mesenchymal stem cell culturingSemantic 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 ↗

Phenotyping senescent mesenchymal stromal cells using AI image translationSemantic proximity Read ↗

Morphology-based noninvasive early prediction of serial-passage potency enhances the selection of clone-derived high-potency cell bank from mesenchymal stem cellsSemantic proximity Read ↗

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

Predicting multipotency of human adult stem cells derived from various donors through deep learningSemantic proximity Read ↗

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

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