AIDPATH
Academia and Industry
Collaboration for Digital Pathology
Gloria Bueno
E.T.S.I. Industriales - UCLM
http://visilab.etsii.uclm.es
EuroTelepath
COST Action Project
Digital Pathology
Partners
Partners
1. UNIVERSIDAD DE CASTILLA-LA
MANCHA
2. ASTRAZENECA UK LIMITED
Sector
Public
Country
SPAIN
Commercial
UK
3. BARCO NV
Commercial
BELGIUM
4. TISSUEGNOSTICS GMBH
Commercial
AUSTRIA
5. LEICA MICROSYSTEMS CMS
GMBH
6. UNIVERSITA DEGLI STUDI DI
UDINE
7. UNIVERSITATEA DE MEDICINA SI
FARMACIE GR.T.POPA IASI
8. THE UNIVERSITY OF
NOTTINGHAM
9. SERVICIO DE SALUD DE CASTILLA
LA MANCHA
10. VIESOJI ISTAIGA VILNIAUS
UNIVERSITETO LIGONINES
SANTARISKIU KLINIKOS
11. LOUGHBOROUGH UNIVERSITY
Commercial
Public
IRELAND
GERMANY
ITALY
Public
ROMANIA
Public
UK
Public
SPAIN
Public
LITHUANIA
Public
UK
Transfer of Knowledge
The AIDPATH Supervisory Board takes overall charge of the researcher’s personal
career development (PCD), knowledge transfer and training needs and activities.
Inter-host Secondments & Training Programs
Implementation
Type of
activity
Start-End
month
WP1 Optimizing, calibrating and standardizing
digital path. image display
RTD, ToK
M1-M46
WP2 Advanced image analysis for whole slide
images
RTD, ToK
M1-M46
WP3 Evaluation and quantification of biomarkers
RTD, ToK
M1-M46
WP4 Clinical evaluation of the processing tools
RTD, ToK
M1-M48
TR
M1-M46
WP6 Dissemination, Exploitation and Outreach
DISS
M1-M48
WP7 Project Coordination and Management
MNG
M1-M48
WP
Work package title
No
WP5 Training Activities
Activity: RTD (for Research & Technological Development), TR (Training), ToK (for Transfer of Knowledge), DISS
(for dissemination/outreach activities), MNG (for management).
Implementation
WP
Work package title
WP1 Optimizing, calibrating and standardizing
digital pathology image display
Activity
Start-End
RTD, ToK
M1-M46
[Leaders: BAR, UNOTT. Other Participants: LEICA, UCLM, LU.
•Goals: To research and develop novel medical image display technology and standards
for digital pathology which may include:
•WP1.1: Low-latency fast multi-scale display of very large images.
•WP1.2: Automatic optimizing and calibrating display to viewing environments.
•WP1.3: Automatic calibrating display to specific specimens and staining.
•WP1.4: Automatic regions of interest visualization.
•WP1.5: Image quality assessment.
Implementation
WP
Work package title
WP2 Advanced image analysis for whole slide
images
Activity
Start-End
RTD, ToK
M1-M46
[Leaders: TG, UCLM. Other Participants: LEICA, UNOTT, LU.
•Goals: This work package will research and develop advanced image analysis
algorithms and tools for WSI. The algorithms and tools will be tailored to the
following problems:
•WP2.1: In-situ cytometry for whole slide imaging.
•WP2.2: From content-based image retrieval (CBIR) to example-based image
diagnosis (EBID).
•WP2.3: Multispectral imaging and nanotechnology for protein expression
quantification and multiplexed detection of biomarkers.
Implementation
WP
Work package title
WP3 Evaluation and quantification of biomarkers
Activity
Start-End
RTD, ToK
M1-M46
[Leaders: AZ, UMF. Other Participants: UCLM, UNOTT, UNIUD.
•Goals: To research and develop new methodologies, algorithms, techniques,
and software tools for the evaluation and quantification of biomarkers. Reliable
and consistent quantification of biomarkers for different diseases is critically
important in developing a systems approach to pathology. Promising subject
areas for specific research projects include:
•WP3.1: Advanced TMA processing and analysis.
•WP3.2: Biomarker evaluation and quantification for specific diseases.
Implementation
WP
Work package title
WP4 Clinical evaluation of the processing tools
Activity
Start-End
RTD, ToK
M1-M48
[Leaders: SESCAM, UNIUD. Other Participants: VUHSK, UCLM, UNOTT.
Goals: : To evaluate the clinical usefulness of the new AIDPATH’s developments
and outcomes to ensure the development of future systems pathology. One
possible approach is through a telepathology platform where pathologists from
different locations can help evaluate the diagnosis accuracy and clinical
usefulness of image analysis tools and algorithms.  telepathology techniques.
Thus, this WP will include:
•WP4.1: Analysis of telepathology platform for digital pathology.
•WP4.2: Functional test definition.
•WP4.3: Database collection.
•WP4.4: Evaluation of nanotechnology and multi-spectral imaging capabilities.
Implementation
WP
Work package title
Activity
Start-End
WP5
Training Activities
RTD, ToK
M1-M48
[Leaders: UNOTT, LU. Other Participants: Alls.
The objective of this WP is to undertake training as an integral part of project
RTD processes to assist all partner organisations and their professionals to
profit from the expertise of participants and to contribute to their continuing
development. The particular objectives are:
O.5.1. Implementation of individual host training
O.5.2. Implementation of multi- host training
Main Training Events and Conferences
Summer School
Scientific Knowledge Training
Private Sector Led Workshop
Workshops & Conference Special Sessions
End of Program Conference
WP
All
All
All
All
All
Months
Annually
Annually
Annually
Annually
46
76 researchers.
3
4
2
4
0
1
1
3
1
1
3
23
4
15
8
8
6
3
2
2
6
6
0
60
ER
(>10 years)
Researchers
Researchers
2
5
4
4
3
1
1
1
3
3
0
27
ER
(<10 years)
Total
Researchermonths
8
12
4
9
0
2
2
8
2
2
6
55
Total
Researchermonths
0
5
4
4
2
0
0
0
0
0
0
15
Total
Researchermonths
Researchers
0
20
18
18
4
0
0
0
0
0
0
60
ER
( >10 years)
Researchers
Total
Researchers
UCLM
AZ
BAR
TG
LEICA
UNIUD
UMF
UNOTT
SESCAM
VUHSK
LU
ER
(<10 years)
Total
Researchermonths
Participant
Name
ERS
Newly Recruited Researchers
Total
Researchermonths
Secondments
12
24
24
24
12
12
12
12
12
12
12
1
1
1
1
1
1
1
1
1
1
1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
168
11
0
0
Implementation
WP
Work package title
WP6 Dissemination, Exploitation and Outreach
Activity
Start-End
DISS
M1-M48
[Leaders: VUHSK, LEICA. Other Participants: Alls.
Objectives
O.6.1. To organize and implement efficient communications inside and
outside the consortium. They should enhance the internal synergies and
provide added value by allowing information flow to/from other projects and
the general public as well as within the AIDPATH.
O.6.2. To implement actions oriented towards a possible exploitation of the
outcome.
O.6.3. To implement actions for outreach activities, in order to create
awareness among the general public and students about the research work
performed in the Marie Curie Actions.
Conclusion
• The challenge is to exploit the new and emerging digital pathology
technologies effectively in order to process and model all the
heterogeneous tissue-derived data.
• This requires joint research projects and collaborative programmes
between academia and industry. Thus, biomedical scientists will be
equipped with broad knowledge and tools of modern imaging and
data processing, whereas engineers with have an understanding of
the complex disease processes and the clinical needs.
• This will help developing efficient and innovative products to fulfil
the needs of digital pathology.  The AIDPATH project addresses
this challenge.
Thank you for your attention