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Preparation of the Atlas

Sections were photographed with a Minolta Dimage 5 digital camera and light table. The digital images of the Weil sections were opened as Tiff files in NIH ImageJ. The "find edges" and "invert" routines were applied, and the resulting images saved. Adobe Photoshop Elements 2.0 was used to clean up the image (reducing background "noise") and apply the labels to this image. Nuclei and other cellular structures visible in a Nissl-stained section are identified. A future version of the atlas will identify fiber bundles visible in a Weil-stained section. The Stephan et al. atlas, along with the squirrel monkey atlases of Gergen and MacLean and Emmers and Akert were used as anatomical references. Higher resolution images were photographed by Rick Dreyfuss of the NIH Medical Arts and Photography Branch (MAPB). Each section was imaged at a magnification of about 4.5x, using a Nikon Multiphot optical bench, a Zeiss Luminar 100 mm lens and a Better Light 6100 scan back driven by Better Light Viewfinder 5.3 software. The final scanner array was 6000x8000 pixels. These files were reduced to a more manageable size and saved at 1200 dpi after a mm calibration grid was added.

MRI Images

T2-weighted, 3D multi spin-echo MR images of the brain of a female marmoset. The coronal sections are 66 µm-thick with an in-plane resolution of 66 µm, and were acquired in a 7T small animal magnet. MRI images were made ex-vivo after perfusion fixation of the brain. To aid contrast, the brain was stored in 10% neutral buffered formalin doped with 5 mM gadopentetate dimeglumine for 1 week following fixation.


Stephan, H; Baron, G; Schwerdtfeger, WK (1980) The Brain of the Common Marmoset (Callithrix jacchus): A Stereotaxic Atlas. Berlin: Springer-Verlag.

Emmers R; Akert K (1963) A Stereotaxic Atlas of the Brain of the Squirrel Monkey (Saimiri Sciureus. Madison, WI: The University of Wisconsin Press

Gergen JA; MacLean PD (1962) A Stereotaxic Atlas of the Squirrel Monkey's Brain. Public Health Service Publication No 933. Bethesda, MD: NIH.