In this study a hand held probe has been automated using a motorized stage and LabVIEW based control and acquisition system for in-vitro cervical precancer diagnosis. The stage movement is controlled by two motors for vertical and horizontal movement while a third motor is utilized for changing the polarization state. The data acquisition and storing was thus performed by moving the probe to a specific site, acquiring polarized fluorescence and elastic scattering signals and creating a user friendly graphical user interface(GUI) panel to suit our needs. Another GUI in MATLAB has also been developed for the real time analysis of data captured through the automatic acquisition system. Three windows were created inside the GUI to display calculated intrinsic fluorescence, for statistical analysis and classification. Principal component analysis was applied to extract the features and classification was done by Mahalanobis distance based algorithm. The classification results have been presented of different grades of cervical cancer
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