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Project Homepage:

http://www.ohrm.info/amhs/tiki-index.php

Instruments where data are captured/transferred from:

"Zeiss Mirax Digital Slide Scanners to produce high quality digital images of stained slides. The Service also offers the latest Histology capabilities, including confocal microscopes, multi?colour fluorescence microscopy and high resolution white?light microscopy all with electronic image capture. Digital images and associated analysis reports are managed and made available via the Mirax Teleconsulting Software provided with the scanners. "

Project Members:

King Chiu (Lead Developer, king.chiu@versi.edu.au)

Owen O'Neill (Data Source Administrator, ooneill@unimelb.edu.au)

ANDS Contact:

Richard Ferrers (Richard.Ferrers@ands.org.au)

Enhanced Metadata Capture for Sustainable Management, Sharing and Re-use of APN Histopathology Research Data

University of Melbourne

Collaborator(s): VeRSI

Project Description:

"The Melbourne Histopathology and Organ Pathology Service (HOPS) provides Australian researchers with high level imaging and descriptive reporting data that is used to validate and investigate mouse models of disease. The AMHS project links metadata seamlessly with images and other investigational information obtained during histopathological investigations of the mice, as part of an Australia-wide initiative to enhance biomedical research.
This has been achieved by developing a web based Case Management System for HOPS. The system streamlines data capture in the Histopathology workflow and makes it available for re-use. A key example of this is in the generation of slide labels, where a manual process of typing in the title for a slide has been replaced by an export from the CMS, that is linked to a unique bar code. This reduces the task from hours to minutes, improves the quality and consistency of the labelling data and avoids error.
The service uses digital pathology, in which tissue under the microscope is automatically scanned, using a sophisticated point-to-point microscope focussing and image stitching protocol. The images can be interrogated off-line or through the HOPS web interface. Metadata is linked to each image and to the set of images from a mouse.
A service to export metadata to a national database, PODD (Phenomics Ontology Driven Data repository project), a two year data management software development project, funded by the National eResearch Infrastructure Taskforce, NeAT) is now also under development as a direct result of the original ANDS funded project.
"

Data Type:

mouse models for disease

High Level Software Functionality:

Features: ;

ANZSRC-FOR code:

06 BIOLOGICAL SCIENCES