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https://hdl.handle.net/10316/108394
Título: | Pluri-IQ: Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software | Autor: | Perestrelo, Tânia Chen, Weitong Correia, Marcelo Le, Christopher Pereira, Sandro Rodrigues, Ana S. Sousa, Maria I. Ramalho-Santos, João Wirtz, Denis |
Data: | 8-Ago-2017 | Editora: | Elsevier | Projeto: | SFRH/BD/51684/2011 SFRH/BD/51681/2011 SFRH/BD/86260/2012 SFRH/BPD/98995/2013 info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID/NEU/04539/2013 |
Título da revista, periódico, livro ou evento: | Stem Cell Reports | Volume: | 9 | Número: | 2 | Resumo: | 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. | URI: | https://hdl.handle.net/10316/108394 | ISSN: | 22136711 | DOI: | 10.1016/j.stemcr.2017.06.006 | Direitos: | openAccess |
Aparece nas coleções: | FCTUC Ciências da Vida - Artigos em Revistas Internacionais I&D CNC - Artigos em Revistas Internacionais IIIUC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Pluri-IQ Quantification of Embryonic Stem Cell Pluripotency through an Image-Based Analysis Software.pdf | 3.89 MB | Adobe PDF | Ver/Abrir |
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