The NPAC Visible Human Viewer


Java Cup International Award Winner

This Java applet allows you to select and view high-resolution images of 2-dimensional slices of a human body, using image data taken from the National Library of Medicine's Visible Human Project.

This applet has won some awards and been featured in some magazines, books and TV shows.

Some mirror sites are now available. Choose the one that is closest to you in order to speed up downloading of the images.

If you are having problems viewing this applet, check the NPAC Visible Human Viewer FAQ.

You are viewing this page with a browser that does not support Java applets. If you were using a Java-enabled browser, you would see the NPAC Visible Human Viewer here. Check the NPAC Visible Human Viewer FAQ for a list of browsers which can view this applet.

Main Panel :
There are three types of image slices -- Axial, Sagittal, and Coronal. Small (preview) images for each of these viewpoints are displayed in the main panel of the viewer. Moving one of the cutting lines will create a new slice through the Visible Human.

Image Controls :
Select the type of slice you want by clicking on the image or the viewpoint name. This will highlight the name in blue, and the cutting line which produced that image will change from red to cyan. To chose a new slice, click on the cutting line and drag it to a new position. A new preview image will appear after you release the mouse button.

Resolution Controls :
Choose the image resolution appropriate for your network connection by clicking one of these buttons:
Low resolution images are around 10 - 50 KBytes.
Medium resolution images are around 25 - 150 KBytes.
High resolution images are around 50 - 350 Kbytes.

Access Controls :
The adjust buttons (the triangle buttons) let you fine tune the exact slice number (shown in blue). If you want to see the full size image of the slice you have just chosen, press the Load button to pop up an image slice window.

For more information on using the viewer, check the NPAC Visible Human Viewer User Guide.

The NPAC Visible Human Project Report

The NPAC Visible Human Viewer Java Source Code

Information on Java and Web technology can be found on the home page for the Syracuse University course CPS616 - Technology and Applications for the Information Age.

The NPAC Visible Human visualization project,
Northeast Parallel Architectures Center, Syracuse University.
The NPAC Visible Human Viewer was developed by Michael Chang and Paul Coddington.
Send comments, suggestions, questions and bug reports to, (but read the FAQ first!).
Last updated 26 June 1996.