A semi-automated method for unbiased alveolar morphometry: Validation in a bronchopulmonary dysplasia model

Reproducible and unbiased methods to quantify alveolar structure are important for research on many lung diseases. However, manually estimating alveolar structure through stereology is time consuming and inter-observer variability is high. The objective of this work was to develop and validate a fas...

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Detalles Bibliográficos
Autores principales: Salaets, Thomas, Tack, Bieke, Gie, André, Pavie, Benjamin, Sindhwani, Nikhil, Jimenez, Julio, Regin, Yannick, Allegaert, Karel, Deprest, Jan, Toelen, Jaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511023/
https://www.ncbi.nlm.nih.gov/pubmed/32966330
http://dx.doi.org/10.1371/journal.pone.0239562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7511023/
https://www.ncbi.nlm.nih.gov/pubmed/32966330
http://dx.doi.org/10.1371/journal.pone.0239562

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