期刊
JOURNAL OF PHYSICAL CHEMISTRY C
卷 126, 期 23, 页码 9777-9783出版社
AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.2c00740
关键词
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资金
- National Institutes of Health [R01EB009745, R01GM142172]
- Cancer Center at Illinois
- Cadence Women in Technology Scholarship
This study uses an information theory-based approach to quantify the spatial localization capability of spectral data in chemical imaging. The study explicitly considers the influence of signal-to-noise ratio and spectral separation on the resolution limits of IR spectroscopic imaging.
Chemical imaging combines the spatial specificity of optical microscopy with the spectral selectivity of vibrational spectroscopy. Mid-infrared (IR) absorption imaging instruments are now able to capture high-quality spectra with microscopic spatial detail, but the limits of their ability to resolve spatial and spectral objects remain less understood. In particular, the sensitivity of measurements to chemical and spatial changes and rules for optical design have been presented, but the influence of spectral information on spatial sensitivity is as yet relatively unexplored. We report an information theory-based approach to quantify the spatial localization capability of spectral data in chemical imaging. We explicitly consider the joint effects of the signal-to-noise ratio and spectral separation that have significance in experimental settings to derive resolution limits in IR spectroscopic imaging.
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