R24 - Ropelewski 1R24MH114793-01

A Confocal Fluorescence Microscopy Brain Data Archive

The Brain Image Library (BIL) is a national public resource enabling researchers to deposit, analyze, mine, share and interact with large brain image datasets. BIL encompasses the deposition of datasets, the integration of datasets into a searchable web-accessible system, the redistribution of datasets, and a computational enclave to allow researchers to process datasets in-place and share restricted and pre-release datasets. 

The BIL is operated as a partnership between the Biomedical Applications Group at the Pittsburgh Supercomputing Center, the Center for Biological Imaging at the University of Pittsburgh and the Molecular Biosensor and Imaging Center at Carnegie Mellon University.   Shown in A and B above are high resolution confocal images as examples of the type that the repository will hold.

Project Leadership

Alexander Ropelewski (Principal Investigator) 
Director Biomedical Applications Group 
Pittsburgh Supercomputing Center 


Simon Watkins (Principal Investigators) 
Distinguished Professor and Vice Chair Cell Biology 
Professor Immunology 
Director Center for Biologic Imaging 
University of Pittsburgh 


Marcel Bruchez (Principal Investigator) 
Professor, Biological Sciences and Chemistry 
Director, Molecular Biosensors and Imaging Center 
Carnegie Mellon University 


Kathy Benninger 
Manager Of Networking Research 
Pittsburgh Supercomputing Center 


Jacob Czech 
Senior Scientific Research Programmer 
Pittsburgh Supercomputing Center 


Greg Hood 
Senior Computer Scientist 
Pittsburgh Supercomputing Center 


Greg Fisher 
Senior Research Scientist 
Carnegie Mellon University 


Derek Simmel 
Grid Computing Specialist 
Pittsburgh Supercomputing Center 


Alan Watson 
Research Assistant Professor 
Department of Cell Biology 
University of Pittsburgh 


Art Wetzel 
Principal Computer Scientist 
Pittsburgh Supercomputing Center 

Project Data Types

  • High-resolution volumetric brain data from the BRAIN Initiative Cell Census network and other researchers.  
  • Data Modalities/assays housed in the library include: Fmost, Mouselight, OLST, Virus Tracing, and others.  

Related Resources