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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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| 出版年: | PLoS One |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7511023/ https://ncbi.nlm.nih.gov/pubmed/32966330 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0239562 |
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