The Applied Molecular Pathology Laboratory (AMPL) is dual division effort between the Center for Cancer Research (CCR) and the Division of Cancer Epidemiology and Genetics (DCEG). The AMPL acts as a production laboratory for the reduction of tissue biospecimens collected as part of DCEG-based studies into material suitable for high-throughput analysis by investigators in CCR and DCEG. The core technologies of the AMPL include:
- TMA construction
- digital imaging/image analysis
- isolation of biomolecules from formalin-fixed, paraffin-embedded tissues
The AMPL is co-located with the Tissue Array Research Program (TARP), at the Advanced Technology Center in Gaithersburg. For information about the AMPL and ongoing efforts, please contact Stephen M. Hewitt, MD, PhD.
Image Database Systems
The AMPL maintains two image databases running software from SlidePath Ltd. Access is limited to registered users, controlled via NIH login credentials (username and password). Access to the databases is controlled separately and is managed to provide the minimum access a user requires to accomplish their goals. There is no guest user access account.
Both databases are browser-based and are compatible with the majority of browsers. Adobe Flash is required. Firefox 4 is not currently supported.
Questions concerning system status, error and access to these databases should be directed to Dr. Hewitt.
CURRENT SYSTEM STATUS: ACTIVE.
Some users are currently suffering a variety of access issues that appear to be related to recent changes in NIH security implementations. Most of these errors appear to involve image viewing and the Flash plug-in. We are currently debugging this. Users are encouraged to test a different browser (IE vs Firefox vs Chrome) and report with as much detail as possible, the error they are encountering to NCIgenejock@mail.nih.gov.
Digital Image Hub (DIH)
Digital Image Hub (DIH) is a primary image database, supporting limited annotation and other image management and annotation features. DIH is not currently available beyond the NIH firewall. A firewall exemption is anticipated in late Spring 2011.
Distiller is an image database leveraged for high-throughput analysis of images by means of manual or automated interpretation and scoring with an emphasis on data aggregation.