A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis.

ABSTRACT:

Background

Drug discovery strongly relies on the thorough evaluation of preclinical experimental studies. In the context of pulmonary fibrosis, micro-computed tomography (µCT) and histology are well-established and complementary tools for assessing, in animal models, disease progression and response to treatment. µCT offers dynamic, real-time insights into disease evolution and the effects of therapies, while histology provides a detailed microscopic examination of lung tissue. Here, we present a semi-automatic pipeline that integrates these readouts by matching individual µCT volume slices with the corresponding histological sections, effectively linking densitometric data with Ashcroft score measurements.

Methods

The tool first geometrically aligns the vertical axis of the

SUBMITTER: Vincenzi E 

PROVIDER: S-EPMC11575023 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature