Segmentation and registration of 2D multiphoton microscopy images

Projecte realitzat en col.laboració amb el centre Purdue UniversityOptical microscopy exhibits many challenges for digital image analysis. In general, microscopy volumes are inherently anisotropic, suffer from decreasing contrast with tissue depth, and characteristically have low signal levels. This thesis describes the initial work in segmenting and registering multiphoton fluorescent microscopy images via a combination of methods. In particular, it describes a method that utilizes image enhancement and spatial filtering along with registration (to correct translational motion) and temporal filtering. Experimental results indicate the methods are promising