Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

Immunofluorescence-guided segmentation of three-dimensional features in micro-computed tomography datasets of human lung tissue

Micro-computed tomography (µCT) provides non-destructive three-dimensional (3D) imaging of soft tissue microstructures. Specific features in µCT images can be identified using correlated two-dimensional (2D) histology images allowing manual segmentation. However, this is very time-consuming and requ...

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Bibliographic Details
Main Authors: Matthew J. Lawson, Orestis L. Katsamenis, David Chatelet, Aiman Alzetani, Oliver Larkin, Ian Haig, Peter Lackie, Jane Warner, Philipp Schneider
Format: Article
Language:English
Published: The Royal Society 2021-11-01
Series:Royal Society Open Science
Subjects:
correlative imaging
histology
blood vessel networks
SIFT
registration
warping
Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.211067

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