Quantitative metrics for assessment of chemical image quality and spatial resolution
Abstract
Rationale: Currently objective/quantitative descriptions of the quality and spatial resolution of mass spectrometry derived chemical images are not standardized. Development of these standardized metrics is required to objectively describe chemical imaging capabilities of existing and/or new mass spectrometry imaging technologies. Such metrics would allow unbiased judgment of intra-laboratory advancement and/or inter-laboratory comparison for these technologies if used together with standardized surfaces. Methods: We developed two image metrics, viz., chemical image contrast (ChemIC) based on signal-to-noise related statistical measures on chemical image pixels and corrected resolving power factor (cRPF) constructed from statistical analysis of mass-to-charge chronograms across features of interest in an image. These metrics, quantifying chemical image quality and spatial resolution, respectively, were used to evaluate chemical images of a model photoresist patterned surface collected using a laser ablation/liquid vortex capture mass spectrometry imaging system under different instrument operational parameters. Results: The calculated ChemIC and cRPF metrics determined in an unbiased fashion the relative ranking of chemical image quality obtained with the laser ablation/liquid vortex capture mass spectrometry imaging system. These rankings were used to show that both chemical image contrast and spatial resolution deteriorated with increasing surface scan speed, increased lane spacing and decreasing size of surface features. Conclusions:more »
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Chemical Sciences Division
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1240566
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Rapid Communications in Mass Spectrometry
- Additional Journal Information:
- Journal Volume: 30; Journal Issue: 7; Journal ID: ISSN 0951-4198
- Publisher:
- Wiley
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY
Citation Formats
Kertesz, Vilmos, Cahill, John F., and Van Berkel, Gary J. Quantitative metrics for assessment of chemical image quality and spatial resolution. United States: N. p., 2016.
Web. doi:10.1002/rcm.7519.
Kertesz, Vilmos, Cahill, John F., & Van Berkel, Gary J. Quantitative metrics for assessment of chemical image quality and spatial resolution. United States. https://doi.org/10.1002/rcm.7519
Kertesz, Vilmos, Cahill, John F., and Van Berkel, Gary J. 2016.
"Quantitative metrics for assessment of chemical image quality and spatial resolution". United States. https://doi.org/10.1002/rcm.7519. https://www.osti.gov/servlets/purl/1240566.
@article{osti_1240566,
title = {Quantitative metrics for assessment of chemical image quality and spatial resolution},
author = {Kertesz, Vilmos and Cahill, John F. and Van Berkel, Gary J.},
abstractNote = {Rationale: Currently objective/quantitative descriptions of the quality and spatial resolution of mass spectrometry derived chemical images are not standardized. Development of these standardized metrics is required to objectively describe chemical imaging capabilities of existing and/or new mass spectrometry imaging technologies. Such metrics would allow unbiased judgment of intra-laboratory advancement and/or inter-laboratory comparison for these technologies if used together with standardized surfaces. Methods: We developed two image metrics, viz., chemical image contrast (ChemIC) based on signal-to-noise related statistical measures on chemical image pixels and corrected resolving power factor (cRPF) constructed from statistical analysis of mass-to-charge chronograms across features of interest in an image. These metrics, quantifying chemical image quality and spatial resolution, respectively, were used to evaluate chemical images of a model photoresist patterned surface collected using a laser ablation/liquid vortex capture mass spectrometry imaging system under different instrument operational parameters. Results: The calculated ChemIC and cRPF metrics determined in an unbiased fashion the relative ranking of chemical image quality obtained with the laser ablation/liquid vortex capture mass spectrometry imaging system. These rankings were used to show that both chemical image contrast and spatial resolution deteriorated with increasing surface scan speed, increased lane spacing and decreasing size of surface features. Conclusions: ChemIC and cRPF, respectively, were developed and successfully applied for the objective description of chemical image quality and spatial resolution of chemical images collected from model surfaces using a laser ablation/liquid vortex capture mass spectrometry imaging system.},
doi = {10.1002/rcm.7519},
url = {https://www.osti.gov/biblio/1240566},
journal = {Rapid Communications in Mass Spectrometry},
issn = {0951-4198},
number = 7,
volume = 30,
place = {United States},
year = {Sun Feb 28 00:00:00 EST 2016},
month = {Sun Feb 28 00:00:00 EST 2016}
}
Web of Science
Works referenced in this record:
Imaging mass spectrometry: Instrumentation, applications, and combination with other visualization techniques: IMAGING MASS SPECTROMETRY
journal, May 2015
- Bodzon-Kulakowska, Anna; Suder, Piotr
- Mass Spectrometry Reviews, Vol. 35, Issue 1
Quantifying image quality
journal, January 1990
- Sharp, P. F.
- Clinical Physics and Physiological Measurement, Vol. 11, Issue 4A
Basic Modeling Approach To Optimize Elemental Imaging by Laser Ablation ICPMS
journal, October 2010
- Triglav, Jure; van Elteren, Johannes T.; Šelih, Vid S.
- Analytical Chemistry, Vol. 82, Issue 19
Influence of laser ablation parameters on trueness of imaging
journal, October 2015
- Vaculovič, T.; Warchilová, T.; Čadková, Z.
- Applied Surface Science, Vol. 351
A metric for evaluation of the image quality of chemical maps derived from LA-ICP-MS experiments
journal, January 2015
- Bonta, Maximilian; Limbeck, Andreas; Quarles Jr, C. Derrick
- Journal of Analytical Atomic Spectrometry, Vol. 30, Issue 8
Atomic and Molecular Imaging at the Single-Cell Level with TOF-SIMS
journal, July 1997
- Colliver, Thomas L.; Brummel, Christopher L.; Pacholski, Michaeleen L.
- Analytical Chemistry, Vol. 69, Issue 13
Improved imaging resolution in desorption electrospray ionization mass spectrometry
journal, September 2008
- Kertesz, Vilmos; Van Berkel, Gary J.
- Rapid Communications in Mass Spectrometry, Vol. 22, Issue 17
Laser microdissection and atmospheric pressure chemical ionization mass spectrometry coupled for multimodal imaging: LA-APCI/MS imaging
journal, May 2013
- Lorenz, Matthias; Ovchinnikova, Olga S.; Kertesz, Vilmos
- Rapid Communications in Mass Spectrometry, Vol. 27, Issue 13
Characterization and Application of a Hybrid Optical Microscopy/Laser Ablation Liquid Vortex Capture/Electrospray Ionization System for Mass Spectrometry Imaging with Sub-micrometer Spatial Resolution
journal, July 2015
- Cahill, John F.; Kertesz, Vilmos; Van Berkel, Gary J.
- Analytical Chemistry, Vol. 87, Issue 21
Development of an Organic Lateral Resolution Test Device for Imaging Mass Spectrometry
journal, September 2014
- Passarelli, Melissa K.; Wang, Jun; Mohammadi, Amir Saeid
- Analytical Chemistry, Vol. 86, Issue 19
Imaging surface analysis: Lateral resolution and its relation to contrast and noise
journal, January 2010
- Senoner, Mathias; Wirth, Thomas; Unger, Wolfgang E. S.
- Journal of Analytical Atomic Spectrometry, Vol. 25, Issue 9
Resolution pattern for mass spectrometry imaging: Resolution pattern for MSI
journal, April 2015
- Fagerer, Stephan R.; Römpp, Andreas; Jefimovs, Konstantins
- Rapid Communications in Mass Spectrometry, Vol. 29, Issue 11
Transmission geometry laser ablation into a non-contact liquid vortex capture probe for mass spectrometry imaging
journal, June 2014
- Ovchinnikova, Olga S.; Bhandari, Deepak; Lorenz, Matthias
- Rapid Communications in Mass Spectrometry, Vol. 28, Issue 15, p. 1665-1673
Works referencing / citing this record:
Image quality assessment metric for frame accumulated image
journal, January 2018
- Yu, Jianping; Li, Gang; Wang, Shaohui
- Review of Scientific Instruments, Vol. 89, Issue 1