ArticleCell biochemistry and biophysics2021
Morphometry and Modeling of Label-Free Human Melanocytes and Melanoma Cells.
Article in Cell biochemistry and biophysics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Quantifying F-actin patches in single melanoma cells using total-internal reflection fluorescence microscopy.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A combination of light microscopy and image processing was applied to investigate morphology of label-free primary-melanocytes and melanoma cells. A novel methodological approach based on morphology of nuclear body was used to find those single cells, which were at the same phase of cell cycle. The area and perimeter of melanocytes and melanoma cells were quantified. We found that there was a significant difference between area and perimeter of adendritic-shaped melanocytes with melanoma cells and the reason(s) of this finding was speculated. Finally, a theoretical model based on losing dendrites was proposed, which was in agreement with our experimental data.
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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.