Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software Article Swipe
Tânia Perestrelo
,
Weitong Chen
,
Marcelo Correia
,
Christopher Le
,
Sandro L. Pereira
,
Ana Sofia Rodrigues
,
Maria Inês Sousa
,
João Ramalho‐Santos
,
Denis Wirtz
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.stemcr.2017.06.006
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.1016/j.stemcr.2017.06.006
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.
Related Topics
Concepts
Induced pluripotent stem cell
Embryonic stem cell
Biology
Software
Image processing
Stem cell
Computer science
Artificial intelligence
Cell biology
Image (mathematics)
Biochemistry
Operating system
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.stemcr.2017.06.006
- http://www.cell.com/article/S2213671117302692/pdf
- OA Status
- gold
- Cited By
- 22
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2735869579
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2735869579Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.stemcr.2017.06.006Digital Object Identifier
- Title
-
Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis SoftwareWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-07-14Full publication date if available
- Authors
-
Tânia Perestrelo, Weitong Chen, Marcelo Correia, Christopher Le, Sandro L. Pereira, Ana Sofia Rodrigues, Maria Inês Sousa, João Ramalho‐Santos, Denis WirtzList of authors in order
- Landing page
-
https://doi.org/10.1016/j.stemcr.2017.06.006Publisher landing page
- PDF URL
-
https://www.cell.com/article/S2213671117302692/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.cell.com/article/S2213671117302692/pdfDirect OA link when available
- Concepts
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Induced pluripotent stem cell, Embryonic stem cell, Biology, Software, Image processing, Stem cell, Computer science, Artificial intelligence, Cell biology, Image (mathematics), Biochemistry, Operating system, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 1, 2022: 2, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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