Literature DB >> 10082302

Signal to noise analysis of multiple color fluorescence imaging microscopy.

Y Garini1, A Gil, I Bar-Am, D Cabib, N Katzir.   

Abstract

BACKGROUND: Various approaches that were recently developed demonstrate the ability to simultaneously detect all human (or other species) chromosomes by using combinatorial labeling and fluorescence in situ hybridization (FISH). With the growing interest in this field, it is important to develop tools for optimizing and estimating the accuracy of different experimental methods.
METHODS: We have analyzed the principles of multiple color fluorescence imaging microscopy. First, formalism based on the physical principles of fluorescence microscopy and noise analysis is introduced. Next, a signal to noise (S/N) analysis is performed and summarized in a simple accuracy criterion. The analysis assumes shot noise to be the dominant source of noise.
RESULTS: The accuracy criterion was used to calculate the S/N of multicolor FISH (M-FISH), spectral karyotyping, ratio imaging, and a method based on using a set of broad band filters. Spectral karyotyping is tested on various types of samples and shows accurate classifications. We have also tested classification accuracy as a function of total measurement time.
CONCLUSIONS: The accuracy criterion that we have developed can be used for optimizing and analyzing different multiple color fluorescence microscopy methods. The assumption that shot noise is dominant in these measurements is supported by our measurements.

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Year:  1999        PMID: 10082302     DOI: 10.1002/(sici)1097-0320(19990301)35:3<214::aid-cyto4>3.0.co;2-d

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  10 in total

1.  Computed tomography-based spectral imaging for fluorescence microscopy.

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Journal:  Biophys J       Date:  2001-02       Impact factor: 4.033

2.  The use of four-colour immunofluorescence techniques to identify mesenchymal stem cells.

Authors:  Matthias Schieker; Christoph Pautke; Katharina Reitz; Indradeo Hemraj; Peter Neth; Wolf Mutschler; Stefan Milz
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3.  Multi-target spectrally resolved fluorescence lifetime imaging microscopy.

Authors:  Thomas Niehörster; Anna Löschberger; Ingo Gregor; Benedikt Krämer; Hans-Jürgen Rahn; Matthias Patting; Felix Koberling; Jörg Enderlein; Markus Sauer
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4.  Microscopy and image analysis.

Authors:  George McNamara; Michael J Difilippantonio; Thomas Ried
Journal:  Curr Protoc Hum Genet       Date:  2005-08

5.  Detecting fluorescent protein expression and co-localisation on single secretory vesicles with linear spectral unmixing.

Authors:  Fabien Nadrigny; Isabelle Rivals; Petra G Hirrlinger; Annette Koulakoff; Léon Personnaz; Marine Vernet; Myriam Allioux; Myriam Chaumeil; Nicole Ropert; Christian Giaume; Frank Kirchhoff; Martin Oheim
Journal:  Eur Biophys J       Date:  2006-03-28       Impact factor: 1.733

6.  Cell Type-Specific Quantification of Telomere Length and DNA Double-strand Breaks in Individual Lung Cells by Fluorescence In Situ Hybridization and Fluorescent Immunohistochemistry.

Authors:  Aernoud A van Batenburg; Karin M Kazemier; Ton Peeters; Matthijs F M van Oosterhout; Joanne J van der Vis; Jan C Grutters; Roel Goldschmeding; Coline H M van Moorsel
Journal:  J Histochem Cytochem       Date:  2018-03-12       Impact factor: 2.479

7.  Automated image analysis for quantitative fluorescence in situ hybridization with environmental samples.

Authors:  Zhi Zhou; Marie Noëlle Pons; Lutgarde Raskin; Julie L Zilles
Journal:  Appl Environ Microbiol       Date:  2007-03-09       Impact factor: 4.792

Review 8.  Live-cell fluorescence spectral imaging as a data science challenge.

Authors:  Jessy Pamela Acuña-Rodriguez; Jean Paul Mena-Vega; Orlando Argüello-Miranda
Journal:  Biophys Rev       Date:  2022-03-23

9.  High-speed compressed-sensing fluorescence lifetime imaging microscopy of live cells.

Authors:  Yayao Ma; Youngjae Lee; Catherine Best-Popescu; Liang Gao
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-19       Impact factor: 12.779

10.  Multi-Color Spectral Transcript Analysis (SPECTRA) for Phenotypic Characterization of Tumor Cells.

Authors:  Joanne H Hsu; Jingly F Weier; Heinz-Ulrich G Weier; Yuko Ito
Journal:  Biomolecules       Date:  2013-02-11
  10 in total

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