UVScan is designed to visualize the damage and aging effects of ultraviolet light on your skin by analyzing photos from your photo library or integrated camera.

Excessive exposure to sunlight and tanning booths can lead to premature skin aging and chronic skin damage, which may result in skin cancer. These damaging effects can be alleviated by staying in the shade, wearing light clothing, or by using sunscreen.

UVScan visualizes the damaged part of the skin as darker areas. Smaller wrinkles in the facial area, which are indicative of prematurly aged skin due to uv exposure, are easy to spot in the same way. The analysis works best about 24 to 48 hours after intensive exposure.

The analysis relies on images taken under good lighting conditions, without extreme dark or bright spots. For best results, use images taken with a distance of roughly 4 inches (10 centimeters). Shots of the cheek and nose should be taken from the side, while shots of the forehead should be taken directly facing the area to analyze. The integrated flash light will further enhance the quality of the analysis.

UVScan resulted in a scientific paper:
Blum-A, Vollert-B, Schlagenhauff-B (2004)
Visualization Method Based on Digital Image Analysis Reveals Photodamage of the Skin
Arch Dermatol 2004;140 1173-1174

Please check also our new MoleExpert mole-mapping Windows software for self screening of pigmented spots and for the early detection of melanoma! http://moleexpert.com.


The app is fairly straightforward to use. Upon starting the app or using the "load image" button, a screen much like this will be shown (depending on your iDevice's capabilities, the camera button may not be shown):

UVScan splash

app start screenshot

After choosing an image from your photo library, or taking a snapshot with the built in camera, the app calculates the UV image and presents it. You can choose between the original and UV images using the tabs at the bottom. The usual pinch/drag multi-touch controls for images work as you would expect. Here's an example (the first image is the original photo, the second is the uv view):

original image

uv image