LAUSR

Each image size in the set is 511x707 and with 100 image layers. This is a combined total of 36,127,700 points of data. That amount of data is too much for current mobile devices. So, to eliminate unneeded background noise in each image, two image processing techniques were used. The first technique is a simple value thresholding, where in we only accept points of data in a specific value range as valid. The second technique used is a spatial threshold. The spatial threshold examines each image to see if each point of data is surrounded by at least 12 other valid points of data, after the value threshold [2]. Using both techniques on the image set allowed us to reduce the point count to roughly 2.8 million – while still maintaining the structure of the nanoparticles as close as possible. The reduced point count easily allows it to work on current Samsung Galaxy S8 phones and also prior Samsung Galaxy S7 phones with GearVR. Fig. 1 demonstrates the difference between raw data and a simple value threshold applied. The concave features of about 1 nm deep on the nanoparticle surfaces are clearly resolved in the threshold applied images.