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Issue 13, 2012
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Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells

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Abstract

We have optimized an imaging methodology capable of monitoring individual live HeLa cells using non-synchrotron FTIR in an aqueous environment. This methodology, in combination with MATLAB based pre-processing techniques, allows fast and efficient collection of data with high signal-to-noise ratio in comparison with previous methods using point mode data collection, which required manual operation and more collection time. Also, presented are early results that illustrate interpretable spectral differences from live cells treated with chemotherapeutic drugs, demonstrating the potential of this methodology to develop more desirable modes of treatment for patients in their diagnoses and treatments for disease.

Graphical abstract: Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells

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Publication details

The article was received on 16 Sep 2011, accepted on 31 Jan 2012 and first published on 01 Mar 2012


Article type: Paper
DOI: 10.1039/C2AN15868J
Citation: Analyst, 2012,137, 2958-2964
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    Noise Adjusted Principal Component reconstruction to optimize infrared microspectroscopy of individual live cells

    E. J. (Swain) Marcsisin, C. M. Uttero, A. I. Mazur, M. Miljković, B. Bird and M. Diem, Analyst, 2012, 137, 2958
    DOI: 10.1039/C2AN15868J

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