ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2022
Resolution Limit in Infrared Chemical Imaging.
Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 21 citations in OpenAlex.
- Rapid Vibrational Circular Dichroism Spectroscopy via Synchronized Photoelastic Modulator-Quantum Cascade Laser Integration.ACS measurement science au · 2025Article
- Structural Mapping of Protein Aggregates in Live Cells Modeling Huntington's Disease.Angewandte Chemie (International ed. in English) · 2024Article
- Inspiring a convergent engineering approach to measure and model the tissue microenvironment.Heliyon · 2024Review
- Modeling the Thermoelastic Sample Response for Subdiffraction Infrared Spectroscopic Imaging.Chemical & biomedical imaging · 2024Article
- Capturing cell morphology dynamics with high temporal resolution using single-shot quantitative phase gradient imaging.Journal of biomedical optics · 2024Article
- Enhancing spatial resolution in Fourier transform infrared spectral image via machine learning algorithms.Scientific reports · 2023Article
- Infrared spectroscopic laser scanning confocal microscopy for whole-slide chemical imaging.Nature communications · 2023Article
- Video-rate mid-infrared photothermal imaging by single-pulse photothermal detection per pixel.Science advances · 2023Article
- Digital Histopathology by Infrared Spectroscopic Imaging.Annual review of analytical chemistry (Palo Alto, Calif.) · 2023Review
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
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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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.