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Dataset Information

Wide-Angle Lung Experiment Segmentation (WALES): Effective quantitative assessment of lung pathology in model systems.


ABSTRACT: For preclinical studies, the standard practice for evaluating lung injury usually involves an assessment of pulmonary histopathology by a certified pathologist. This is typically accomplished by light microscopy using a semiquantitative four-point scale. In contrast, automated image analysis software allows a more quantitative assessment, though inherent limitations with such automated programs can produce misleading conclusions. For example, specific imaging features may be incorrectly scored or classified within the specimen because of the complex architecture and heterogeneous structures present in the lung. In addition, tissue processing and handling may further introduce artifacts and inconsistencies that affect automated analysis. To address these limitations, we developed a lung ima

SUBMITTER: Drakeley LJ 

PROVIDER: S-EPMC12571061 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature