BIRN – Biomedical Informatics Research Network

Dr. Joanna Jankowsky at Caltech has developed a Tet-off APP model, in which the expression of APP can be controlled with antibiotic treatment.

Multiple datasets for an Experimental Autoimmune Encephalitis (EAE) mouse model of Multiple Sclerosis.

Duke Center for In-Vivo Microscopy (CIVM) contains high resolution MR brain images of normal and human-disease-model mice, including multiple MRI modalities and structural segmentation.

This atlas is a reconstructed Nissl volume collected from a C57BL/6J neonatal mouse.

This atlas is reconstructed from T2-weighted magnetic resonance images acquired from 8 normal C57BL/6J neonatal mice.

Acquired from six background control (C3HeB) and six dysmyelinating shiverer (C3Fe.SWV shi/shi) mouse brains.

Embryonic and adult mouse brain images were acquired using three dimensional diffusion tensor magnetic resonance microimaging technique.

Acquired from a normal, 100-day old male C57BL/6J mouse, the atlas is comprised of a diffusion-weighted image volume, a label volume, a mask volume, and a label index. (BIRN Atlas Tool (MBAT) or (SHIVA)).

These data provide a high resolution, large scale mosaic image of a cerebellar distribution of cell bodies and alpha-synuclein from a non-transgenic animal (M. Martone; UCSD).

Six treat and 6 normal mice from this experiment are shared on the BIRN Microarray Database.

This atlas is constructed from T2-weighted magnetic resonance microscopy (MRM) images acquired from 11 normal female C57BL/6J mice and is the default atlas for the Mouse BIRN Atlasing Toolkit (MBAT).

REM registers N-D image pairs that may contain topological differences.

MBAT provides a workflow environment bringing together online resources, a user’s image data and biological atlases in a concise, unified and intuitive workspace.

An interactive tool for stereotaxic brain data visualization. LOVE is a 3-D viewer that allows volumetric data display and manipulation of axial, sagittal and coronal views.

The LONI Provenance Editor is a self-contained, platform-independent application that automatically extracts the provenance information from an image header (such as a DICOM image) and generates a data provenance XML file with that information.

Provides a visual programming interface that allows researchers to link many independently developed analysis programs into a processing “pipeline.”

The LONI Inspector is a Java application for reading, displaying, searching, comparing, and exporting metadata from AFNI, ANALYZE, DICOM, ECAT, GE, Interfile, MINC, and NIFTI files.

The Debabeler is a robust and extensible tool used to create and customize translations between medical image file formats.

A tool for automated registration of 3D and 2D images within and across subjects and across imaging modalities.