C70. Neonatal and Pediatric Lung Disease 2019
DOI: 10.1164/ajrccm-conference.2019.199.1_meetingabstracts.a5492
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Automated Whole Slide Morphometry (AWSM-Q): A Validation Study for Lung Histology Quantification in Rodent Models of Bronchopulmonary Dysplasia

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Cited by 2 publications
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“…A composite score of lung injury was taken as the average of all scores for each caption and 8 captions were averaged for each animal. Automated whole slide morphometry was conducted based on a previously described protocol [ 14 , 15 ]. Digitized slides were automatically partitioned into 498 × 498 μm 2 tiles using Pannoramic Viewer (3DHISTECH, Budapest, Hungary) yielding approximately 220–1300 tiles per slide composed of 2048 × 2048 pixels each.…”
Section: Methodsmentioning
confidence: 99%
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“…A composite score of lung injury was taken as the average of all scores for each caption and 8 captions were averaged for each animal. Automated whole slide morphometry was conducted based on a previously described protocol [ 14 , 15 ]. Digitized slides were automatically partitioned into 498 × 498 μm 2 tiles using Pannoramic Viewer (3DHISTECH, Budapest, Hungary) yielding approximately 220–1300 tiles per slide composed of 2048 × 2048 pixels each.…”
Section: Methodsmentioning
confidence: 99%
“…Digitized slides were automatically partitioned into 498 × 498 μm 2 tiles using Pannoramic Viewer (3DHISTECH, Budapest, Hungary) yielding approximately 220–1300 tiles per slide composed of 2048 × 2048 pixels each. Tiles were imported into MATLAB (MathWorks, Natick, MA) and individually converted into CIE-Lab colour space as previously described [ 14 , 15 ]. Pixels were then classified as air, tissue, oedema, or red blood cells (RBCs) using a combination of two-dimensional colour-based k -means clustering and manual clustering seed adjustment (Additional file 1 : Fig.…”
Section: Methodsmentioning
confidence: 99%
“…For each rat, between 1 and 3 5‐μm‐thick sections of both the lungs were stained with hematoxylin and eosin, then digitized on a whole‐slide scanner (Pannoramic 250 Flash II, 3DHistech, Hungary) acquiring approximately 700‐1600 micrographs per section with dimensions of 498 × 498 μm using a 20×/0.8 objective at a bright‐field resolution of 0.243 × 0.243 μm per pixel. Using MATLAB, all acquired micrographs were segmented by 4 group k‐means clustering corresponding to air, RBC, pulmonary tissue, and edema . The segmented images were binarized into RBC and non‐RBC compartments and the blood fraction was calculated as the ratio of RBC pixels to total pixels in the image.…”
Section: Methodsmentioning
confidence: 99%
“…Using MATLAB, all acquired micrographs were segmented by 4 group k-means clustering corresponding to air, RBC, pulmonary tissue, and edema. [39][40][41] The segmented images were binarized into RBC and non-RBC compartments and the blood fraction was calculated as the ratio of RBC pixels to total pixels in the image. The overall blood fraction for a rat was calculated as the mean across all segmented micrographs.…”
Section: Histologymentioning
confidence: 99%