XGLOM is a tool for automated / semi-automated identification and quantification of glomeruli in kidneys that have been imaged using three imaging modalities:
- MR (Magnetic Resonance Imaging);
- Virtual Microscopy of standard histology samples; and
- CT (X-ray computed tomography).
XGLOM is intended to be used on:
- MR data collected from an Agilent 9.4T (Tesla) scanner based at the Monash Biomedical Imaging Facility (MBI);
- Virtual histology images collected from an Aperio virtual microscope (slide scanner) based at the Monash histology Platform; and
- CT data collected from the Imaging and Medical Beamline at the Australian Synchrotron (AS IMBL).
XGLOM relies on DaRIS at the Monash Biomedical Imaging Facility (MBI) for file management, and the computational tasks are carried out with the aid of Matlab within the MASSIVE environment (The Multi-modal Australian ScienceS Imaging and Visualisation Environment).
This software is currently being built using funding from the ANDS Applications program.
This service record in Research Data Australia (RDA) therefore does not (yet) point to a functioning software tool, nor can it (yet) be linked to any output collection(s) derived through the use of the tool.
When the functional software tool is available, this RDA service record will be modifed to reflect these changes.