This document provides information about retinal image analysis and blood vessel segmentation. It lists several references for databases containing retinal images that can be used for algorithm testing and development. It also references previous work on blood vessel detection algorithms using techniques like matched filters, multiwavelet kernels, and multiscale hierarchical decomposition. The document promotes the NECST lab at Politecnico di Milano and provides their Facebook and Twitter links, and notes they are participating in the Xilinx Open Hardware Contest in 2016.