Literature DB >> 16456868

A simple correction for cell autofluorescence for multiparameter cell-based analysis of human solid tumors.

Charles A Smith1, Agnese Pollice, David Emlet, Stanley E Shackney.   

Abstract

BACKGROUND: Corrections that have been proposed to minimize the unwanted contribution of cell autofluorescence to the total fluorescence signal often require either specialized instrumentation or the sacrifice of a data channel so as to perform a measurement that can be used to correct for autofluorescence in individual cells. Here we propose a simple cell by cell correction for autofluorescence that is suitable for multiparameter laser scanning cytometry (LSC) studies in human solid tumors that relies on the ratio of mean autofluorescence to mean total cell fluorescence (mean Flauto/mean Fltotal). This approach assumes a correlation between the autofluorescence component and the total signal in individual cells. This correction does not require specialized instrumentation, and does not sacrifice a data channel in multiparameter studies. A potential disadvantage is that errors may be introduced by the assumption of a correlation between the two components of the total fluorescence signal in individual cells in samples in which no such correlation exists.
METHODS: Distributions of cell autofluorescence and total Her-2/neu cell fluorescence were obtained separately by LSC in three human breast cancer cell lines and in three samples of primary human lung cancer. In the breast cancer cell lines, autofluorescence measurements and Her-2/neu measurements were also obtained on the same cells.
RESULTS: We show that there is a partial correlation between autofluorescence and total Her-2/neu/FITC fluorescence in individual cells in the three breast cancer cell lines. We also show that the results of a ratio-based autofluorescence correction agree with those based on a true cell by cell correction. Computer simulation studies suggest that in samples with no correlation between the autofluorescence component and the true probe/dye fluorescence component, the ratio correction produces robust estimates of the mean true fluorescence signal, with relatively small but systematic underestimates of the coefficient of variation of such measurements under conditions commonly encountered in the measurement of human solid tumors.
CONCLUSIONS: A simple cell by cell correction for autofluorescence based on the ratio of mean Flauto to mean Fltotal can be applied in cell samples in which there is a correlation between cell autofluorescence and true probe/dye fluorescence in individual cells. In cell samples that lack this correlation, or in which it is not known whether such a correlation exists, this correction can be used with the reservation that there is a systematic but relatively small underestimation of the degree of variability of the measurements. Copyright 2005 International Society for Analytical Cytology.

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Year:  2006        PMID: 16456868     DOI: 10.1002/cyto.b.20090

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  4 in total

Review 1.  Biomedical Applications of Translational Optical Imaging: From Molecules to Humans.

Authors:  Daniel L Farkas
Journal:  Molecules       Date:  2021-11-02       Impact factor: 4.411

2.  Unlocking autofluorescence in the era of full spectrum analysis: Implications for immunophenotype discovery projects.

Authors:  Vanta J Jameson; Tina Luke; Yuting Yan; Angela Hind; Maximilien Evrard; Kevin Man; Laura K Mackay; Axel Kallies; Jose A Villadangos; Hamish E G McWilliam; Alexis Perez-Gonzalez
Journal:  Cytometry A       Date:  2022-03-29       Impact factor: 4.714

3.  Pre-culture Sudan Black B treatment suppresses autofluorescence signals emitted from polymer tissue scaffolds.

Authors:  Lin Qi; Erin K Knapton; Xu Zhang; Tongwen Zhang; Chen Gu; Yi Zhao
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

4.  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

  4 in total

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