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Comparison of Two Quantitative Methods of Discerning Airspace Enlargement in Smoke-Exposed Mice

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  • Richard E Jacob
  • James P Carson
  • Kathy M Gideon
  • Brett G Amidan
  • Cathie L Smith
  • K Monica Lee

Abstract

In this work, we compare two methods for evaluating and quantifying pulmonary airspace enlargement in a mouse model of chronic cigarette smoke exposure. Standard stereological sample preparation, sectioning, and imaging of mouse lung tissues were performed for semi-automated acquisition of mean linear intercept (Lm) data. After completion of the Lm measurements, D2, a metric of airspace enlargement, was measured in a blinded manner on the same lung images using a fully automated technique developed in-house. An analysis of variance (ANOVA) shows that although Lm was able to separate the smoke-exposed and control groups with statistical significance (p = 0.034), D2 was better able to differentiate the groups (p

Suggested Citation

  • Richard E Jacob & James P Carson & Kathy M Gideon & Brett G Amidan & Cathie L Smith & K Monica Lee, 2009. "Comparison of Two Quantitative Methods of Discerning Airspace Enlargement in Smoke-Exposed Mice," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-7, August.
    • Handle: RePEc:plo:pone00:0006670
    DOI: 10.1371/journal.pone.0006670
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    1. Thomas Salaets & Bieke Tack & André Gie & Benjamin Pavie & Nikhil Sindhwani & Julio Jimenez & Yannick Regin & Karel Allegaert & Jan Deprest & Jaan Toelen, 2020. "A semi-automated method for unbiased alveolar morphometry: Validation in a bronchopulmonary dysplasia model," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-13, September.

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