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PNG has not to date won widespread acceptance, largely because, unlike JPEG, full details of the compression technique have not been made freely available. It also gives poorer compression performance than JPG. , 4'7 takes a totally different approach: it creates mathematical expressions, which, when iterated, recreate the original image. It can give spectacular levels of compression. Unlike JPEG compression, creating the compressed image is a very time-consuming process but decompression is very quick.
Lempel-Ziv-Welch (LZW) and Huffman encoding look for repeated sequences, assign each a token, and then replace each occurrence by its token. None of these works well with real images so that if you compress confocal images using one of the popular systems such as PKzip or WinZip you will find that gains are very modest--at best the files will shrink by 10-20%, which does little to alleviate the problem. Compression techniques designed for real-world images are always "lossy": part of the data is discarded.
The data set is 256 × 256 × 88 (extracted from a larger field) and was acquired on a Bio-Rad Micro-Radiance system. In each case the projection is a top view of data looking straight down the stack of sections with no rotation. All projections were scaled to a uniform contrast range. (a) An average brightness projection and (b) a maximum brightness projection, both created with Confocal Assistant from Bio-Rad. The average brightness projection gives a very good impression of the overall distribution of microtubules but with very little impression of depth; in fact, a view from the opposite direction would be identical.