The design and characterization of a low-density microarray for subtyping influenza A is presented. The microarray consisted of 15 distinct oligonucleotides designedto target only the matrix gene segment of influenza A. Anartificial neural network was utilized to automate microarray image interpretation. The neural network was trainedto recognize fluorescence image patterns for 68 knowninfluenza viruses and subsequently used to identify 53unknowns in a blind study that included 39 humanpatient samples and 14 negative control samples. Theassay exhibited a clinical sensitivity of 95% and clinicalspecificity of 92%.