Abstract:
We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio in noisy fluorescence microscopic image sequences where small particl...Show MoreMetadata
Abstract:
We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio in noisy fluorescence microscopic image sequences where small particles have to be tracked from frame to frame. Image sequences restoration is achieved using a spatio-temporal adaptive window approach with an appropriate on-line window geometry specification. We have applied this method to noisy synthetic and real 3D image sequences where a large number of small fluorescently labelled vesicles are moving in regions close to the Golgi apparatus. The SNR is shown to be drastically improved and the enhanced vesicles can be segmented. This novel approach can be further used for biological studies where the dynamic of small objects of interest has to be analyzed in molecular and sub-cellular bio-imaging.
Published in: IEEE International Conference on Image Processing 2005
Date of Conference: 14-14 September 2005
Date Added to IEEE Xplore: 14 November 2005
Print ISBN:0-7803-9134-9