Prof. Dr. Jan Hasenauer
Life and Medical Sciences Institute (LIMES) and Hausdorff Center for Mathematics
jan.hasenauer@uni-bonn.de View member: Prof. Dr. Jan Hasenauer
Bioinformatics (Oxford, England)
SUMMARY: To allow the comprehensive histological analysis of the whole intestine, it is often rolled to a spiral before imaging. This Swiss-rolling technique facilitates robust experimental procedures, but it limits the possibilities to comprehend changes along the intestine. Here, we present IntestLine, a Shiny-based open-source application for processing imaging data of (rolled) intestinal tissues and subsequent mapping onto a line. The visualization of the mapped data facilitates the assessment of the whole intestine in both proximal-distal and serosa-luminal axis, and enables the observation of location-specific cell types and markers. Accordingly, IntestLine can serve as a tool to characterize the intestine in multi-modal imaging studies.
AVAILABILITY AND IMPLEMENTATION: Source code can be found at Zenodo (https://doi.org/10.5281/zenodo.7081864) and GitHub (https://github.com/SchlitzerLab/IntestLine).
© The Author(s) 2023. Published by Oxford University Press.
PMID: 36943334
Life and Medical Sciences Institute (LIMES) and Hausdorff Center for Mathematics
jan.hasenauer@uni-bonn.de View member: Prof. Dr. Jan HasenauerLife & Medical Sciences Institute (LIMES)
aschlitz@uni-bonn.de View member: Prof. Dr. Andreas Schlitzer