DNA microarrays have become one of the most powerful tools in modern biology. Expanding demand for mass production of microarrays has created considerable interest in improving the cost effectiveness of microarray fabrication techniques. Several algorithms dedicated to reducing the number of synthesis cycles for the in situ synthesis of high density DNA microarrays were presented in this paper. Meanwhile, an operation that reverses the probes on a microarray based on those algorithms was introduced and evaluated. The results indicate a possibility for a further reduction of the synthesis cycles.

A proposed criteria based on the concept of normalized entropy is used to evaluate the performances of the Kohonen feature map and the K-mean clustering algorithm and the experimental results are discussed. Then a newly proposed efficient reversible image compression method is described briefly. It turned out that a problem which severely handicaps the practical realization of the method can be resolved by the Kohonen's algorithm at a satisfactory level.<>