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肺形态学的自动化高性能分析

Automated High-Performance Analysis of Lung Morphometry.

作者信息

Sallon Céline, Soulet Denis, Provost Pierre R, Tremblay Yves

机构信息

1 Axe Reproduction, Santé de la Mère et de l'Enfant, and.

2 Centre de Recherche en Biologie de la Reproduction (CRBR) and.

出版信息

Am J Respir Cell Mol Biol. 2015 Aug;53(2):149-58. doi: 10.1165/rcmb.2014-0469MA.

DOI:10.1165/rcmb.2014-0469MA
PMID:25695836
Abstract

Automation of lung morphometric analysis is an asset in the study of lung pathophysiology because it is an assurance of robustness, reproducibility, and rapidity. The novel automated morphometric approach presented here meets these criteria. This new method collects multiple parameters, allowing quantitative elucidation of the pathophysiology of the developing and mature lungs. The automated morphometric analysis is reliable and allows the analysis of a greater proportion of each lung together with a higher number of samples and superior reproducibility than manual analysis. The use of this method revealed that treatment with 80% oxygen and lung development presented an opposite effect on most of the analyzed parameters. In conclusion, this novel approach allowed the collection of new fundamental morphometric data on lung development and a deeper comprehension of the effect of hyperoxia.

摘要

肺形态计量分析的自动化在肺病理生理学研究中是一项优势,因为它确保了稳健性、可重复性和快速性。本文介绍的新型自动形态计量方法满足这些标准。这种新方法收集多个参数,能够对发育中和成熟肺的病理生理学进行定量阐释。与手动分析相比,自动形态计量分析可靠,能够分析每个肺的更大比例,样本数量更多,且具有更高的可重复性。使用该方法发现,80%氧气处理与肺发育对大多数分析参数呈现相反的影响。总之,这种新方法能够收集有关肺发育的新的基础形态计量数据,并更深入地理解高氧的影响。

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Automated High-Performance Analysis of Lung Morphometry.肺形态学的自动化高性能分析
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