scholarly journals Mass Recalibration of FT-ICR Mass Spectrometry Imaging Data Using the Average Frequency Shift of Ambient Ions

2013 ◽  
Vol 24 (7) ◽  
pp. 1137-1145 ◽  
Author(s):  
Jeremy A. Barry ◽  
Guillaume Robichaud ◽  
David C. Muddiman
Keyword(s):  
Mass Spectrometry ◽  
Frequency Shift ◽  
Mass Spectrometry Imaging ◽  
Average Frequency ◽  
Imaging Data ◽  
Ft Icr

scholarly journals Enhancing the Throughput of FT Mass Spectrometry Imaging Using Compressed Sensing and Subspace Modeling

2021 ◽  
Author(s):  
Yuxuan Richard Xie ◽  
Daniel C. Castro ◽  
Stanislav S. Rubakhin ◽  
Jonathan V. Sweedler ◽  
Fan Lam
Keyword(s):  
Mass Spectrometry ◽  
High Resolution ◽  
Compressed Sensing ◽  
Mass Spectrometry Imaging ◽  
Chemical Space ◽  
Chemical Compositions ◽  
Ion Cyclotron Resonance ◽  
Imaging Data ◽  
Subspace Modeling ◽  
Ft Icr

Mass spectrometry imaging (MSI) allows for untargeted mapping of the chemical compositions of tissues with attomole detection limits. MSI using Fourier transform-based mass spectrometers, such as FT-ion cyclotron resonance (FT-ICR), grants the ability to examine the chemical space with unmatched mass resolution and mass accuracy. However, direct imaging of large tissue samples on FT-ICR is restrictively slow. In this work, we present an approach that combines the subspace modeling of ICR temporal signals with compressed sensing to accelerate high-resolution FT-ICR MSI. A joint subspace and sparsity constrained reconstruction enables the creation of high-resolution imaging data from the sparsely sampled and short-time acquired transients. Simulation studies and experimental implementation of the proposed acquisition in investigation of brain tissues demonstrate a factor of 10 enhancement in throughput of FT-ICR MSI, without the need for instrumental or hardware modifications.

scholarly journals Evaluation of Digital Image Recognition Methods for Mass Spectrometry Imaging Data Analysis

2018 ◽  
Vol 29 (12) ◽  
pp. 2467-2470 ◽  
Author(s):  
Måns Ekelöf ◽  
Kenneth P. Garrard ◽  
Rika Judd ◽  
Elias P. Rosen ◽  
De-Yu Xie ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Image Recognition ◽  
Digital Image ◽  
Mass Spectrometry Imaging ◽  
Imaging Data

scholarly journals massPix: an R package for annotation and interpretation of mass spectrometry imaging data for lipidomics

Metabolomics ◽  
2017 ◽  
Vol 13 (11) ◽  
Author(s):  
Nicholas J. Bond ◽  
Albert Koulman ◽  
Julian L. Griffin ◽  
Zoe Hall
Keyword(s):  
Mass Spectrometry ◽  
Mass Spectrometry Imaging ◽  
R Package ◽  
Imaging Data

scholarly journals Untargeted Metabolite Mapping in 3D Cell Culture Models Using High Spectral Resolution FT-ICR Mass Spectrometry Imaging

2019 ◽  
Vol 91 (15) ◽  
pp. 9522-9529 ◽  
Author(s):  
Lulu H. Tucker ◽  
Gregory R. Hamm ◽  
Rebecca J. E. Sargeant ◽  
Richard J. A. Goodwin ◽  
C. Logan Mackay ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Cell Culture ◽  
Spectral Resolution ◽  
Mass Spectrometry Imaging ◽  
3D Cell Culture ◽  
High Spectral Resolution ◽  
Culture Models ◽  
Cell Culture Models ◽  
Ft Icr

scholarly journals Native glycan fragments detected by MALDI-FT-ICR mass spectrometry imaging impact gastric cancer biology and patient outcome

Oncotarget ◽  
2017 ◽  
Vol 8 (40) ◽  
pp. 68012-68025 ◽  
Author(s):  
Thomas Kunzke ◽  
Benjamin Balluff ◽  
Annette Feuchtinger ◽  
Achim Buck ◽  
Rupert Langer ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Gastric Cancer ◽  
Patient Outcome ◽  
Cancer Biology ◽  
Mass Spectrometry Imaging ◽  
Ft Icr
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