Skip to main content

Fast-Tracking Pathology via Automated Image Analysis and High-Performance Computing: Application to Prostate Cancer Diagnostics

Objective

Histopathology has traditionally been a low-throughput, labour-intensive technique. Conventional manual annotation of tissue slides requires a pathologist to examine the tissue and cellular components to grade the level of disease progression. However, digital pathology and automated digital image analysis solutions can provide a more rapid solution. In recent years, there has been a rapid uptake of digital pathology in both the academic and industrial sectors, each creating large image libraries with related manual and automated annotations, all stored on local systems. There is now a requirement to streamline this process and to provide a comprehensive set of tools for data integration and mining of this valuable, but often not fully exploited, information. There is also a need for inter-lab standardisation and the development of high-performance computing approaches to enable integration of multiple libraries and knowledge discovery. The FAST-PATH project will address these key issues to maximise the capabilities of the digital pathology workflow. Specifically, FAST-PATH will develop a set of tools, available through a web-based interface, to address the standardisation, integration and knowledge discovery of high-throughput digital pathology libraries and related manual annotations. We will focus on integration of oncology-based data generated from the academic and industrial partners involved, with a particular emphasis on prostate cancer. This inter-sectoral study will also involve validation of novel prognostic biomarkers via automated analysis of immunohistochemical images. Importantly, FAST-PATH will bring together 4 major European academic institutes and 2 SME partners with the central aim of streamlining digital pathology via the development of data standardisation, integration and discovery tools.

Call for proposal

FP7-PEOPLE-2011-IAPP
See other projects for this call

Funding Scheme

MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)

Coordinator

UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
Address
Belfield
4 Dublin
Ireland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 357 432
Administrative Contact
Donal Doolan (Mr.)

Participants (5)

THE QUEEN'S UNIVERSITY OF BELFAST
United Kingdom
EU contribution
€ 222 034
Address
University Road Lanyon Building
BT7 1NN Belfast
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Colleen Spence (Ms.)
MAX IV Laboratory, Lund University
Sweden
EU contribution
€ 209 946
Address
Paradisgatan 5C
22100 Lund
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Lennart Råstam (Mr.)
UPPSALA UNIVERSITET
Sweden
EU contribution
€ 259 160
Address
Von Kraemers Alle 4
751 05 Uppsala
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Fredrik Ponten (Prof.)
ONCOMARK LIMITED
Ireland
EU contribution
€ 534 359
Address
172 Rathgar Road Rathgar
Dublin 6 Dublin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Mairin Rafferty (Dr.)
I-PATH DIAGNOSTICS LIMITED
United Kingdom
EU contribution
€ 365 396
Address
Innovation Centre Unit 2 Ni Science
BT3 9DT Belfast
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Ian Cargill (Mr.)