How Can Huffman Coding Optimize Data Storage in Nanotechnology?
Nanoscale experiments, such as those involving scanning tunneling microscopy or atomic force microscopy, generate high-resolution images and extensive data sets. Applying Huffman coding can compress this data without any loss of information, enabling researchers to store more data on the same physical medium. This is especially important when dealing with big data in nanotechnology.
