ArticleJournal of biophotonics2020
Label-free spectroscopic tissue characterization using fluorescence excitation-scanning spectral imaging.
Article in Journal of biophotonics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Medical hyperspectral imaging: an updated review of technology advancements and biomedical applications.Journal of biomedical optics · 2026Pooled it
- Combined excitation scan-based hyperspectral imaging and digital deconvolution for the assessment of the kinetic and spatial distributions of cAMP signals.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Illuminating native fluorescence signatures for cancer detection.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
- Evaluating Normalization Methods for Robust Spectral Performance Assessments of Hyperspectral Imaging Cameras.Biosensors · 2025Article
- A naturally brighter approach to colorectal cancer detection.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Design of Multiplexed, Live Cell Imaging Experiments Using Excitation Scan-Based Hyperspectral Imaging Microscopy.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Fluorescence excitation-scanning hyperspectral imaging with scalable 2D-3D deep learning framework for colorectal cancer detection.Scientific reports · 2024Article
- Mucosal-Associated Invariant T Cells are not susceptible in vitro to SARS-CoV-2 infection but accumulate into the lungs of COVID-19 patients.Virus research · 2024Article
- Hyperspectral imaging and dynamic region of interest tracking approaches to quantify localized cAMP signals.Biochemical Society transactions · 2024Review
- Comparing Performance of Spectral Image Analysis Approaches for Detection of Cellular Signals in Time-Lapse Hyperspectral Imaging Fluorescence Excitation-Scanning Microscopy.Bioengineering (Basel, Switzerland) · 2023Article
- Multifaceted mirror array illuminator for fluorescence excitation-scanning spectral imaging microscopy.Journal of biomedical optics · 2023Article
- Microscopy is better in color: development of a streamlined spectral light path for real-time multiplex fluorescence microscopy.Biomedical optics express · 2022Article
- Comparison of Whiskbroom and Pushbroom darkfield elastic light scattering spectroscopic imaging for head and neck cancer identification in a mouse model.Analytical and bioanalytical chemistry · 2021Article
- Development of an endothelial cell-restricted transgenic reporter rat: a resource for physiological studies of vascular biology.American journal of physiology. Heart and circulatory physiology · 2020Article
- Spectrofluorometric Analysis of Autofluorescing Components of Crude Serum from a Rat Liver Model of Ischemia and Reperfusion.Molecules (Basel, Switzerland) · 2020Article
- High-speed fluorescence excitation-scanning hyperspectral imaging microscopy using thin-film tunable filters.Proceedings of SPIE--the International Society for Optical EngineeringArticle
- Combined hyperspectral imaging, monolayer stress microscopy, and S8 image analysis approaches for simultaneously interrogating cellular signals and biomechanics.Proceedings of SPIE--the International Society for Optical EngineeringArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Spectral imaging approaches provide new possibilities for measuring and discriminating fluorescent molecules in living cells and tissues. These approaches often employ tunable filters and robust image processing algorithms to identify many fluorescent labels in a single image set. Here, we present results from a novel spectral imaging technology that scans the fluorescence excitation spectrum, demonstrating that excitation-scanning hyperspectral image data can discriminate among tissue types and estimate the molecular composition of tissues. This approach allows fast, accurate quantification of many fluorescent species from multivariate image data without the need of exogenous labels or dyes. We evaluated the ability of the excitation-scanning approach to identify endogenous fluorescence signatures in multiple unlabeled tissue types. Signatures were screened using multi-pass principal component analysis. Endmember extraction techniques revealed conserved autofluorescent signatures across multiple tissue types. We further examined the ability to detect known molecular signatures by constructing spectral libraries of common endogenous fluorophores and applying multiple spectral analysis techniques on test images from lung, liver and kidney. Spectral deconvolution revealed structure-specific morphologic contrast generated from pure molecule signatures. These results demonstrate that excitation-scanning spectral imaging, coupled with spectral imaging processing techniques, provides an approach for discriminating among tissue types and assessing the molecular composition of tissues. Additionally, excitation scanning offers the ability to rapidly screen molecular markers across a range of tissues without using fluorescent labels. This approach lays the groundwork for translation of excitation-scanning technologies to clinical imaging platforms.
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Registered trials
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