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

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  • who: Thomas Salaets and colleagues from the Department of Imaging and Pathology, KULeuven, Facultad Medicina, Universidad , Institute for Women's Health, University College London Hospital, London, United Kingdom have published the article: A semi-automated method for unbiased alveolar morphometry: Validation in a bronchopulmonary dysplasia model, in the Journal: PLOS ONE of 23/09/2020
  • what: The aim of this work was to develop and validate a fast reproducible and accurate (semi-)automatic alternative. The authors report R2-values, a bestfit equation for the regression line and relative bias (with confidence interval) derived from the . . .

     

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