Automated microscopic quantification of adipogenic differentiation of human gland stem cells.
Gorjup E., Peter L., Wien S., von Briesen H., Schmitt D.
Animal Study, published in Ann Anat (2008) — summary generated from the PubMed abstract.
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
- Level A · Stronger Clinical Evidence
- Level B · Emerging clinical evidence with positive signals
- Level C · Early human research exploring benefits
- Level D · Scientific groundwork from lab and animal studies
- Emerging · Emerging topic under active research
This page is generated from the PubMed record. The Thai description is an automated summary of bibliographic fields and the abstract, not a full translation, and is not medical advice.
- Study type
- Animal Study
- Journal
- Ann Anat (2008)
- Country
- Germany
- Reported sample size
- —
- Source database
- PubMed
- PMID
- 19046627
- DOI
- 10.1016/j.aanat.2008.09.003
Abstract (original English)
Detection of differentiation in general and adipogenesis specifically is conventionally practised by taking only the few cells into account which are visible in the field of view provided by optical microscopy using high-resolution objectives. Other methods of quantification of adipogenic differentiation such as real time PCR, measurement of glycerophosphate dehydrogenase activity or adipogenesis assays only provide integral information lacking spatial resolution and information on the fraction of differentiated cells. Here we used high-resolution scanning and automated image processing to automatically analyze and quantify cell numbers in the range of 20,000. For optimisation of the approach, human gland stem cells (GSC) were differentiated to the adipogenic phenotype comprising inclusion of lipid vesicles. Oil red O and 4',6'-diamidino-2-phenylindole (DAPI) staining made it possible to derive the number of differentiated cells in relation to the total number of cells. For evaluation of the image processing software we verified our results using adipogenesis assay and phase contrast based cell counting. We developed a method of determining differentiation efficiencies covering the range from 10% down to 100ppm with the same image processing and an identical set of parameters, matching the results of the adipogenesis assay. Our approach is based on a statistically significant n
What this study does not prove
- • This study does not prove SVF is an approved treatment or a replacement for standard care.
- • This is preclinical work; animal or laboratory results cannot be applied to humans.
Evidence level
Evidence from laboratory and animal studies provides groundwork for understanding mechanisms and potential before human studies continue.
How we grade evidenceBrowse all related research
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