Immunopathology Translational Technology Platform

The Pathology Translational Technology Platform provides a wide range of tissue-based and molecular services to cancer research scientists at UCL including immunohistochemistry services.

The Pathology TTP maintains a wide range of equipment available for use by UCL researchers. Following a local induction and training with a member of Pathology TTP staff, UCL researchers can be given access to the equipment once they are competent to use it safely. Researchers are required to provide their own consumables.

Interested in working with us or need histology advice?

We would like to to discuss your project. Please contact:

ci.histopath@ucl.ac.uk

Equipment

An automated staining system that is designed to deliver precise and consistent immunohistochemistry and in situ hybridisation assays using Leica’s antigen retrieval and detection systems. Up to 30 slides (FFPE or frozen) can be loaded at a time, running up to 3 different staining protocols. Ideal for researchers looking to optimise single or dual chromogenic immunohistochemistry staining. This system is available from Mon-Fri 09:00-17:00 (excluding Bank Holidays).

Please get in touch with the Pathology TTP at ci.bbfhad-admin@ucl.ac.uk to discuss access, training and options.

An automated staining system for performing immunohistochemistry or in situ hybridization on histology or cytology specimens.Capable of fully automated slide baking, deparaffinization, antigen retrieval and staining for IHC, ISH, immunofluorescence, multiparameter IHC staining (dual, triple), counter staining and reagent titration. Up to 30 slides can be loaded, with independent protocols and temperature controls (ambient to 100°C) available at each position.

The Leica Bond RXm is a fully automated advance staining machine for both Immunohistochemistry (IHC) and In Situ Hybridization (ISH).

This equipment is available to researchers for limited times each week from Monday 09:00AM to Tuesday 12:00 Midday.

The machine in Lab 303 is overseen by Professor Teresa Marafioti. Any queries related to this system should be directed to Sugerdana Padmasri who manages the system.