title: Noise adjusted principal component reconstruction to optimize infrared microspectroscopy of individual live cells.
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.
authors.affiliation: Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.
authors.forename: Ellen J
authors.initials: EJ
authors.lastname: Marcsisin
authors.forename: Christina M
authors.initials: CM
authors.lastname: Uttero
authors.forename: Antonella I
authors.initials: AI
authors.lastname: Mazur
authors.forename: Miloš
authors.initials: M
authors.lastname: Miljković
authors.forename: Benjamin
authors.initials: B
authors.lastname: Bird
authors.forename: Max
authors.initials: M
authors.lastname: Diem
mesh_terms: D006367:HeLa Cells; D006801:Humans; D025341:Principal Component Analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*