2015
DOI: 10.1165/rcmb.2014-0469ma
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Automated High-Performance Analysis of Lung Morphometry

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 nu… Show more

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Cited by 21 publications
(27 citation statements)
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“…Looking to the future, the time constraints may be circumvented by automation of the tissue section analysis. Efforts in this direction are already underway by the Tremblay group (307); however, there is most likely a long and difficult road ahead before this goal is attained to the satisfaction of the stereology community.…”
Section: Quantitative Assessment Of Lung Structurementioning
confidence: 99%
“…Looking to the future, the time constraints may be circumvented by automation of the tissue section analysis. Efforts in this direction are already underway by the Tremblay group (307); however, there is most likely a long and difficult road ahead before this goal is attained to the satisfaction of the stereology community.…”
Section: Quantitative Assessment Of Lung Structurementioning
confidence: 99%
“…The time cost of counting however is, next to the capability of the observer to remain undistracted during this cumbersome and repetitive task, strongly dependent on the amount of inflammatory exudates and non-parenchymal areas on the fields, since these require manual selection. Previously described automatic counting methods did not exclude non-parenchymal areas or did not discriminate between septal tissue and exudates [11,12,14]. This can bias the results of these methods.…”
Section: Plos Onementioning
confidence: 99%
“…Computerized approaches offer the possibility to increase the sampling density, at a lower time cost, and thereby improve the accuracy of the result. Some authors have developed methods to quantify structural characteristics on a complete lung slide, not requiring sampling of a set of fields [11]. However, the time cost of manually cleaning these whole lung slides from non-parenchymal areas and exudates, outbalances the accuracy gained by a sample density of 100%.…”
Section: Plos Onementioning
confidence: 99%
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“…Since tissues stained with H&E are typically autofluorescent in the red channel, the image acquisition (Zen 2.3 acquisition software) was performed using an AlexaFluor 555 filter set to generate grayscale images. Mosaic of images were exported as BigTiff files and processed using a modified algorithm used for the morphological analysis of lung alveoli as published previously (Sallon et al 2015). Briefly, Matlab software version 2014a (Mathworks) was used to perform a distributed computing analysis of the images, and results were exported as CSV files.…”
Section: Automated High-performance Histological Analysis Of Serial Amentioning
confidence: 99%