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

Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari · 2024

Read A semi-automatic pipeline integrating histological and µCT data in a mouse model of lung fibrosis by Elena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari (2024) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11575023.txt.

Description

Vincenzi and colleagues present in 2024 a semi-automatic pipeline that aligns microscope sections of lung tissue with matching slices from micro-CT scans in a mouse model of lung fibrosis. The two views complement each other: scans follow disease over time, while histology shows fine damage. The tool rotates the scan volume, finds the coronal slice matching each section, and extracts density measures from it.

Matching succeeded in most cases and cut alignment time from forty minutes to five. Scan and tissue scores correlated well. The authors say the link gives drug studies a fuller, faster read on fibrosis.

Catalog record

CREATORElena Vincenzi, Martina Buccardi, Erica Ferrini, Alice Fantazzini, Eugenia Polverini, Gino Villetti, Nicola Sverzellati, Andrea Aliverti, Curzio Basso, Francesca Pennati, Franco Fabio Stellari
YEAR2024
COLLECTIONPAPERS
FORMATTXT
FILE SIZE54 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC11575023

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