Literature DB >> 19116195

Color compensation of multicolor fish images.

Hyohoon Choi1, Kenneth R Castleman, Alan C Bovik.   

Abstract

Multicolor fluorescence in situ hybridization (M-FISH) techniques provide color karyotyping that allows simultaneous analysis of numerical and structural abnormalities of whole human chromosomes. Chromosomes are stained combinatorially in M-FISH. By analyzing the intensity combinations of each pixel, all chromosome pixels in an image are classified. Due to the overlap of excitation and emission spectra and the broad sensitivity of image sensors, the obtained images contain crosstalk between the color channels. The crosstalk complicates both visual and automatic image analysis and may eventually affect the classification accuracy in M-FISH. The removal of crosstalk is possible by finding the color compensation matrix, which quantifies the color spillover between channels. However, there exists no simple method of finding the color compensation matrix from multichannel fluorescence images whose specimens are combinatorially hybridized. In this paper, we present a method of calculating the color compensation matrix for multichannel fluorescence images whose specimens are combinatorially stained.

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Year:  2009        PMID: 19116195     DOI: 10.1109/TMI.2008.928177

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  3 in total

1.  Classification of multicolor fluorescence in situ hybridization (M-FISH) images with sparse representation.

Authors:  Hongbao Cao; Hong-Wen Deng; Marilyn Li; Yu-Ping Wang
Journal:  IEEE Trans Nanobioscience       Date:  2012-06       Impact factor: 2.935

2.  Detailed interrogation of trypanosome cell biology via differential organelle staining and automated image analysis.

Authors:  Richard J Wheeler; Keith Gull; Eva Gluenz
Journal:  BMC Biol       Date:  2012-01-03       Impact factor: 7.431

3.  Efficient blind spectral unmixing of fluorescently labeled samples using multi-layer non-negative matrix factorization.

Authors:  Thomas Pengo; Arrate Muñoz-Barrutia; Isabel Zudaire; Carlos Ortiz-de-Solorzano
Journal:  PLoS One       Date:  2013-11-08       Impact factor: 3.240

  3 in total

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