ArticleStem cell reports2017
Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software.
Article in Stem cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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
11 citing papers in PubMed.
- ColonyQuant: automated quantification and morphometric analysis of pluripotent stem cell colonies.BMC bioinformatics · 2026Article
- Automated Image-Based Profiling of Pluripotent Stem Cell Colonies.bioRxiv : the preprint server for biology · 2025Article
- A secreted proteomic footprint for stem cell pluripotency.PloS one · 2024Article
- Morphological Signal Processing for Phenotype Recognition of Human Pluripotent Stem Cells Using Machine Learning Methods.Biomedicines · 2023Article
- TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images.Cancers · 2022Article
- Patient derived stem cells for discovery and validation of novel pathogenic variants in inherited retinal disease.Progress in retinal and eye research · 2021Review
- All models are wrong, but some are useful: Establishing standards for stem cell-based embryo models.Stem cell reports · 2021Review
- Effects of DMSO on the Pluripotency of Cultured Mouse Embryonic Stem Cells (mESCs).Stem cells international · 2020Article
- Live-cell imaging of subcellular structures for quantitative evaluation of pluripotent stem cells.Scientific reports · 2019Article
- Cytoskeletal tension regulates mesodermal spatial organization and subsequent vascular fate.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Kinetic Analysis of Enzymes Immobilized in Porous Film Arrays.Analytical chemistry · 2017Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image-based assays, such as alkaline phosphatase staining or immunocytochemistry for pluripotent markers, are common methods used in the stem cell field to assess pluripotency. Although an increased number of image-analysis approaches have been described, there is still a lack of software availability to automatically quantify pluripotency in large images after pluripotency staining. To address this need, we developed a robust and rapid image processing software, Pluri-IQ, which allows the automatic evaluation of pluripotency in large low-magnification images. Using mouse embryonic stem cells (mESC) as a model, we combined an automated segmentation algorithm with a supervised machine-learning platform to classify colonies as pluripotent, mixed, or differentiated. In addition, Pluri-IQ allows the automatic comparison between different culture conditions. This efficient user-friendly open-source software can be easily implemented in images derived from pluripotent cells or cells that express pluripotent markers (e.g., OCT4-GFP) and can be routinely used, decreasing image assessment bias.
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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.