Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosis
Abstract
Structural remodeling of the vascular wall is a universal response to chronic damage, pressure overload or flow overload. Therefore, this process occurs in a wide range of diseases affecting both the systemic and pulmonary circulations. Vascular wall fibrosis is one of the most important factors in the pathogenesis of various types of pulmonary hypertension. In this regard quantitative assessment of collagen deposition in the vascular wall is crucial for both preclinical studies and directly affects the life prognosis for patients with pulmonary hypertension. Also, histological analysis is the gold standard for assessing vascular structural remodeling. This dataset includes 705 micrographs of vascular wall region with varying degrees of vascular wall fibrosis that developed in various types of pulmonary hypertension. All included studies were devoted to the investigation of pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension in male Wistar rats. Lung sections were stained with Picro-Mallory and digitized using a whole slide scanner. Pulmonary artery branches were subdivided into vessel segments, and exported as fixed-size micrographs. For each micrograph, the dataset provides a region-of-interest mask and two independent expert annotations, including binary masks of the vascular wall and intramural fibrosis zones. The presented database will be useful for the development of new software solutions for the analysis of histological micrographs.
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BibTeX
@article{karpov2026microscopy,
title = {{Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosis}},
author = {Andrei Karpov and Aleksandr Sinitca and Nadezda Isakova and Anna Dushkova and Ekaterina Semenova and Vladislava Karpenko and Sergey Smirnov and Yuliya Karpova and Dariya Vaulina and Michael Galagudza and Alexander Krasichkov and Dmitrii Kaplun},
journal = {Scientific Data},
year = {2026},
month = sep,
doi = {10.1038/s41597-026-08214-y},
url = {https://hal.science/hal-05749814v1},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Microscopy Image Dataset of pulmonary vessels for Quantitative assessment of fibrosis
AU - Andrei Karpov
AU - Aleksandr Sinitca
AU - Nadezda Isakova
AU - Anna Dushkova
AU - Ekaterina Semenova
AU - Vladislava Karpenko
AU - Sergey Smirnov
AU - Yuliya Karpova
AU - Dariya Vaulina
AU - Michael Galagudza
AU - Alexander Krasichkov
AU - Dmitrii Kaplun
PY - 2026
DA - 2026/09/08
JO - Scientific Data
DO - 10.1038/s41597-026-08214-y
UR - https://hal.science/hal-05749814v1
AB - Structural remodeling of the vascular wall is a universal response to chronic damage, pressure overload or flow overload. Therefore, this process occurs in a wide range of diseases affecting both the systemic and pulmonary circulations. Vascular wall fibrosis is one of the most important factors in the pathogenesis of various types of pulmonary hypertension. In this regard quantitative assessment of collagen deposition in the vascular wall is crucial for both preclinical studies and directly affects the life prognosis for patients with pulmonary hypertension. Also, histological analysis is the gold standard for assessing vascular structural remodeling. This dataset includes 705 micrographs of vascular wall region with varying degrees of vascular wall fibrosis that developed in various types of pulmonary hypertension. All included studies were devoted to the investigation of pulmonary arterial hypertension and chronic thromboembolic pulmonary hypertension in male Wistar rats. Lung sections were stained with Picro-Mallory and digitized using a whole slide scanner. Pulmonary artery branches were subdivided into vessel segments, and exported as fixed-size micrographs. For each micrograph, the dataset provides a region-of-interest mask and two independent expert annotations, including binary masks of the vascular wall and intramural fibrosis zones. The presented database will be useful for the development of new software solutions for the analysis of histological micrographs.
SN - 2052-4463
ER -