Title :
Automatic Fluorescent Dot Counting in Interphase Cell Nuclei using Basis Pursuit Image Analysis
Author :
Tai, Zhenfei ; Cheng, Samuel
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Norman, OK
Abstract :
Fluorescent dot counting in interphase cell nuclei has always been useful in many aspects of clinical research and biomedical use. An iterative method is purposed in this paper using the basis pursuit algorithm for the processing of the fluorescent images, together with the threshold scheme to result in compressed sensed images useful for dot counting. A simple dot counting algorithm is employed on the processed images and compared with a conventional method to show the advantages of the new technique.
Keywords :
fluorescence; iterative methods; medical image processing; automatic fluorescent dot counting; basis pursuit image analysis; interphase cell nuclei; iterative method; Biological cells; Biomedical computing; Discrete wavelet transforms; Fluorescence; Frequency estimation; Image analysis; Iterative methods; Low pass filters; Marine animals; US Department of Transportation; basis pursuit; curvelet; dot counting; wavelet;
Conference_Titel :
Region 5 Conference, 2008 IEEE
Conference_Location :
Kansas City, MO
Print_ISBN :
978-1-4244-2076-6
Electronic_ISBN :
978-1-4244-2077-3
DOI :
10.1109/TPSD.2008.4562730