title: Data processing in Fourier transform ion cyclotron resonance mass spectrometry.
abstract: The Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometer intricately couples advanced physics, instrumentation, and electronics with chemical and particularly biochemical research. However, general understanding of the data processing methodologies used lags instrumentation, and most data processing algorithms we are familiar with in FT-ICR are not well studied; thus, professional skill and training in FT-ICR operation and data analysis is still the key to achieve high performance in FT-ICR. This review article is focused on FT-ICR data processing, and explains the procedures step-by-step for users with the goal of maximizing spectral features, such as mass accuracy, resolving power, dynamic range, and detection limits.
authors.affiliation: Department of Chemistry, University of Warwick, Coventry, CV4 7AL, United Kingdom.
authors.forename: Yulin
authors.initials: Y
authors.lastname: Qi
authors.forename: Peter B
authors.initials: PB
authors.lastname: O'Connor
mesh_terms: D000465:Algorithms; D016477:Artifacts; D017357:Cyclotrons; D003627:Data Interpretation, Statistical; D005583:Fourier Analysis; D007477:Ions; D007554:Isotopes / Q000737:chemistry; D013058:Mass Spectrometry / Q000379:methods* / Q000706:statistics & numerical data; D012110:Reserpine / Q000737:chemistry; D059629:Signal-To-Noise Ratio; D025801:Ubiquitin / Q000737:chemistry
chemical_list: D007477:Ions; D007554:Isotopes; D025801:Ubiquitin; D012110:Reserpine
keywords: FT-ICR; apodization; calibration; data processing; phase correction