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UCLA Brain Tumor Translational Resource (BTTR)
Access to Primary Adult Brain Tumor bio-specimen resources for clinical and translational research.
  Since 1995, UCLA Medical Center has been committed to providing its researchers and physicians with tangible brain tumor resources they may draw upon to complete their research tasks. The Brain Tumor Translational Resource main function is to provide researchers access to de-identified clinical resources & tissue on consented patients who have been diagnosed with a Primary Adult Brian Tumor. These bio-specimen resources can include Blood, Cell Culture, Stained and Un-Stained Slides, Paraffin Tumor Blocks, Frozen Tumor Tissue, DNA and RNA.

By making these resources available and linked to real-time clinical data, are hope is to streamline the research process and accelerate new findings in the laboratory, which can ultimately lead to improved patient care.

Key Functions of the UCLA Brain Tumor Translational Resource

Management and distribution of bio-specimen resources

The primary function of the BTTR is to act as a reliable bio-specimen bank for Adult Primary Brain Tumors. Our goal is to be a gateway that will allow UCLA researchers and its trusted research partner’s access to crucial resources. Current resources are only allocated based on established protocols that are approved by the BTTR committee.

To contact the committee directly about protocol submissions, contact the lab directly:

William H Yong M.D. [Director, BTTR]

Ph : 310-794-6405

Whole Slide Digital Imaging & Analysis

WSDI is fast becoming a standard practice of care for many neuro-pathologists. The BTTR is looking to fill this need by providing WSDI scanning and image repository services on all Adult Primary Brain Tumor Cases treated at UCLA. Access, to these images in real-time enable the researcher to view a patients tumor histology, before pulling the tumor block.
Real-Time Neuro-Pathology Systems Development

Path Lab, designed in conjunction with our commercial partners, is a Whole Slide Digital Imaging framework designed to support several hunderd terabytes of uncompressed digital slides, correlated with real-time clinical information. This thin client approach, uses advanced viewing techniques to stream image data, making it an ideal platform for cloud based computing.

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[Content Published:4/29/2017 8:14:08 PM PST]