DNA microarray images contain spots that represent the gene expression of normal and cancer samples.
As there are numerous spots on DNA microarray images, image processing can help in enhancing an
image and assisting analysis. The mathematical morphology is proposed to enhance the microarray image
and analyse noise removal on the image. This follows an experiment in which the erosion, dilation,
opening, closing, white top-hat (WTH) and black top-hat (BTH) operations were applied on a DNA
microarray image and its results analysed. Noise was completely removed by the erosion operation and
the images were enhanced.
Controlled humidity environment is of significance in many scientific researches and experiments. In most laboratory-scale atmospheric chambers, an electrical temperature-based control system is used to adjust humidity. Since these chambers are not affordable in every laboratory, other low cost chambers using nitrogen gas or silica gel are used to adjust humidity. In this paper, a mechanism was developed to control the relative humidity in closed lab-scale chambers. Humidification is done by spraying water through a blower fan while de-humidification is by pumping air through silica gel as well as nitrogen gas injection. A Mamdani type fuzzy controller was designed to control the components and relative humidity. The results show the proposed system and controller can adjust and maintain relative humidity from 41% to 100% with maximum overshoot of 1% and the maximum range of error of steady state of 1.2 %.