Built on real anatomy from the National Library of Medicine's Visible Human Project®, the Touch of Life Technologies VH Dissector platform for medical education provides students with an integrated environment for anatomical education and reference. With the ability to interact with correlated 3D and cross-sectional views of over 2,000 anatomical structures through identification, dissection, assembly and rotation the VH Dissector helps students understand the complex three-dimensional structure of the human body. Combining a complete electronic dissector with integrated 3D and cross-sectional atlases, the VH Dissector platform provides a comprehensive resource for gross anatomy education.
Please be sure to check that your system meets the minimum system requirements.
Then choose the appropriate download link below and thank you for using the VH Dissector!
If you have any trouble getting up and running or have questions, please contact us at email@example.com.
iPad models supported: iPad Pro 1 12.9", iPad Pro 2 or later, iPad Air 3 or later, iPad Mini 5 or later, iPad 7 or later.
Windows 7 is no longer supported by Microsoft or the VH Dissector Pro 6.2 or later.
If you have Windows 7 you may download the VH Dissector Pro 6.0.16.
|Operating System||Microsoft Windows 8.1*|
|Microsoft Windows 10|
macOS: x86-64, ARM64*****
|Processor||Intel 4th Generation i5||Intel 6th Generation i7, Apple M1*****|
|Memory||8GB of RAM||16GB of RAM|
|Graphics||Intel HD Graphics 4600|
|Intel Iris Graphics 540|
|Graphics API||Windows: DirectX 11|
|Storage||2.8GB of available hard-disk space|
|Network||Internet connection for installation, activation and lesson access|
* Touchscreen features require Windows 10
** The following iPad models are supported: iPad Pro 1 12.9", iPad Pro 2 or later, iPad Air 3 or later, iPad Mini 5 or later, iPad 7 or later.
*** VRAM can be dedicated or shared system memory
**** List of macOS computers supporting Metal: https://support.apple.com/en-us/HT205073
***** The VH Dissector does not yet run natively on the ARM64 platform (Apple M1 processor), however testing has shown that it performs well.