Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/108394
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Perestrelo, Tânia | - |
dc.contributor.author | Chen, Weitong | - |
dc.contributor.author | Correia, Marcelo | - |
dc.contributor.author | Le, Christopher | - |
dc.contributor.author | Pereira, Sandro | - |
dc.contributor.author | Rodrigues, Ana S. | - |
dc.contributor.author | Sousa, Maria I. | - |
dc.contributor.author | Ramalho-Santos, João | - |
dc.contributor.author | Wirtz, Denis | - |
dc.date.accessioned | 2023-08-28T11:35:49Z | - |
dc.date.available | 2023-08-28T11:35:49Z | - |
dc.date.issued | 2017-08-08 | - |
dc.identifier.issn | 22136711 | pt |
dc.identifier.uri | https://hdl.handle.net/10316/108394 | - |
dc.description.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. | pt |
dc.description.sponsorship | PhD scholarships attributed to T.P. (SFRH/BD/ 51684/2011), M.C. (SFRH/BD/51681/2011), and M.I.S. (SFRH/ BD/86260/2012) and a postdoc fellowship attributed to S.P. (SFRH/BPD/98995/2013). Center for Neuroscience and Cell Biology (CNC) is also funded by FCT under the strategic project UID/NEU/04539/2013. The authors also give thanks for the grant support by FCT and FEDER/COMPETE 2020 (POCI-01-0145- FEDER-007440) and HealthyAging2020:CENTRO-01-0145- FEDER-000012. | pt |
dc.language.iso | eng | pt |
dc.publisher | Elsevier | pt |
dc.relation | SFRH/BD/51684/2011 | pt |
dc.relation | SFRH/BD/51681/2011 | pt |
dc.relation | SFRH/BD/86260/2012 | pt |
dc.relation | SFRH/BPD/98995/2013 | pt |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID/NEU/04539/2013 | pt |
dc.rights | openAccess | pt |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | pt |
dc.subject.mesh | Algorithms | pt |
dc.subject.mesh | Animals | pt |
dc.subject.mesh | Biomarkers | pt |
dc.subject.mesh | Cell Line | pt |
dc.subject.mesh | Cells, Cultured | pt |
dc.subject.mesh | Embryonic Stem Cells | pt |
dc.subject.mesh | Gene Expression | pt |
dc.subject.mesh | Image Processing, Computer-Assisted | pt |
dc.subject.mesh | Immunohistochemistry | pt |
dc.subject.mesh | Machine Learning | pt |
dc.subject.mesh | Mice | pt |
dc.subject.mesh | Pluripotent Stem Cells | pt |
dc.subject.mesh | Protein Transport | pt |
dc.subject.mesh | Reproducibility of Results | pt |
dc.subject.mesh | Sensitivity and Specificity | pt |
dc.subject.mesh | User-Computer Interface | pt |
dc.subject.mesh | Molecular Imaging | pt |
dc.subject.mesh | Software | pt |
dc.title | Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software | pt |
dc.type | article | - |
degois.publication.firstPage | 697 | pt |
degois.publication.lastPage | 709 | pt |
degois.publication.issue | 2 | pt |
degois.publication.title | Stem Cell Reports | pt |
dc.peerreviewed | yes | pt |
dc.identifier.doi | 10.1016/j.stemcr.2017.06.006 | pt |
degois.publication.volume | 9 | pt |
dc.date.embargo | 2017-08-08 | * |
uc.date.periodoEmbargo | 0 | pt |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.openairetype | article | - |
item.languageiso639-1 | en | - |
item.fulltext | Com Texto completo | - |
item.cerifentitytype | Publications | - |
crisitem.project.grantno | CNC. IBILI | - |
crisitem.author.researchunit | CNC - Center for Neuroscience and Cell Biology | - |
crisitem.author.orcid | 0000-0001-7060-879X | - |
crisitem.author.orcid | 0000-0002-1172-4018 | - |
Appears in Collections: | FCTUC Ciências da Vida - Artigos em Revistas Internacionais I&D CNC - Artigos em Revistas Internacionais IIIUC - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Pluri-IQ Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software.pdf | 3.89 MB | Adobe PDF | View/Open |
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