Biologically inspired image compression in biomedical high-throughput screening

Abstract

Biomedical High-Throughput Screening (HTS) requires specific properties of image compression. While especially when archiving a huge number of images of one particular experiment the time factor is often rather secondary, other features like lossless compression and high compression ratio are much more important. Due to the similarity of all images within one experiment series, a content based compression seems to be especially applicable. Biologically inspired techniques, particularly Artificial Neural Networks (ANN) are an interesting and innovative tool for adaptive intelligent image compression, although with JPEG2000 a promising alternative has become available. © Springer-Verlag 2004.