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Segmentation and registration based analysis of microscopy images

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4 Author(s)
Lorenz, K.S. ; Video & Image Process. Lab., Purdue Univ., West Lafayette, IN, USA ; Serrano, F. ; Salama, P. ; Delp, E.J.

Optical 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 paper describes a method to segment multiphoton fluorescent microscopy images via a combination of segmentation and registration methods. In particular, the proposed method utilizes image enhancement and spatial filtering along with registration and temporal filtering. Experimental results demonstrate the efficacy of the proposed method.

Published in:

Image Processing (ICIP), 2009 16th IEEE International Conference on

Date of Conference:

7-10 Nov. 2009