Computational technologies are used to accelerate or fully automate the processing, quantification and analysis of large amounts of high-information-content biomedical imagery. Modern image analysis systems augment an observer's ability to make measurements from a large or complex set of images, by improving accuracy, objectivity or speed. A fully developed analysis system may completely replace the observer. Although these systems are not unique to biomedical imagery, biomedical imaging is becoming more important for both diagnostics and research. Some examples are high-throughput and high-fidelity quantification & sub-cellular localization, morphometrics, clinical image analysis & visualization, infrared measurements for metabolic activity determination. Image analysis related techniques (like wavelet) have also been found useful in bioinformatics problems, such as sequence analysis. The potential of mining the information in bioimages to answer biological questions is enormous and it cries for advanced techniques of bioimage data mining & informatics

Bioimaging is the application of microscopy to the study of cells and organisms. Knowledge of bioimaging techniques is now essential in many types of biological and biomedical research. With the development of advanced imaging techniques, the number of biological images (like cellular and molecular images, as well as medical images) acquired in digital forms is growing rapidly. Large-scale bioimage databases are becoming available. Analyzing these images sheds new light for biologists to seek answers to many biological problems. For example, analysis of the spatial distribution of proteins in molecular images can differentiate cancer cell phenotypes. Comparison of in situ gene expression pattern images during embryogenesis helps to delineate the underlying gene networks

Image processing techniques are widely used in analysing biological images, including images of microarrays and two-dimensional electrophoresis gels from which gene & protein expression levels can be measured. Electron microscopy allows the study of cells and tissues at magnification & resolution well beyond those possible by light microscopy. Scanning electron microscopy is used to investigate the surface structure of biological specimens. Image analysis and handling techniques are necessary for dealing with the large amount of data generated by microscopy techniques.The overview of such techniques will give you the background you need to help design your research project. CT or Computerized Tomography refers to a diagnostic imaging technique which uses X-rays and a computer to view organs & other features inside the body. It is a method of examining body organs by scanning them with X- rays and using a computer to construct a three-dimensional image of that structure. Magnetic Resonance Imaging (MRI) refers to a non-invasive nuclear procedure for imaging tissues of high fat and water content that cannot be seen with other radiological techniques