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Experimental Pathology in Biomedical Research Centres 2024 Edition

28 Nov 24

The workshop will introduce participants to the field of experimental histopathology by reviewing the basic concepts of pathology (macroscopic and microscopic lesions/tissue evaluation), and the routine and specialised histological techniques (IHC, IF, FISH, miltiplexingIF, etc) used to obtain and process tissue samples. Notions of digital pathology and image analysis will be also covered.

Moreover, several examples of the applications of histopathological studies to biomedical research will be presented.

The session is addressed mainly to PhD researchers and users of the Histopathology Facility (previous registration requested). 

Image

Presentation

Date and Time: Thursday 28 Nov 2024, 9:30-13:45
Place: Fèlix Serratosa Room

Speakers

Neus Prats – Head, IRB Histopathology Facility

Mònica Aguilera – Senior Research Officer, IRB Histopathology Facility

Irene Ruano – Research Officer, IRB Histopathology Facility

Laura Sala – Research Officer, IRB Histopathology Facility

 

Registration: Send an email to academicoffice@irbbarcelona.org before 27 November. The workshop has limited places. Participants will receive a confirmation email. 

 

If you are registered to participate and finally cannot attend, please send an e-mail to academicoffice@irbbarcelona.org in order to give others the opportunity.

Programme

Experimental Pathology in Biomedical Research Centres

 

09.30 – 09.40 Introduction to the IRB HP Facility

  • Personnel, equipment and services

09.40 - 10.40 – Experimental Pathology (I)

  • Objectives of Experimental Pathology  
  • Mouse Necropsy, Sampling (blood and tissues) and Tissue Processing and Staining

10.40 – 11.00 –  BREAK
 
11.00 – 12.00 – Experimental Pathology (II)   

  • Macroscopic and Microscopic Tissue Evaluation
  • Case studies

12.00 – 13.00 – Immunostaining and Other Histomolecular Techniques

  • Basic principles
  • Case studies

13.00 – 13.45 – Digital Scanning and Image Analysis    

  • Basic principles
  • Case studies