ArticleJournal of biophotonics2017
Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array.
Article in Journal of biophotonics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 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
- Hyperspectral retinal imaging in Alzheimer's disease and age-related macular degeneration: a review.Acta neuropathologica communications · 2024Review
- Enhancing intraoperative tumor delineation with multispectral short-wave infrared fluorescence imaging and machine learning.Journal of biomedical optics · 2023Article
- Compact and ultracompact spectral imagers: technology and applications in biomedical imaging.Journal of biomedical optics · 2023Review
- Article
- Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope.Sensors (Basel, Switzerland) · 2020Article
- Fibre-based spectral ratio endomicroscopy for contrast enhancement of bacterial imaging and pulmonary autofluorescence.Biomedical optics express · 2019Article
- Quantitative evaluation of comb-structure correction methods for multispectral fibrescopic imaging.Scientific reports · 2018Article
- Bimodal reflectance and fluorescence multispectral endoscopy based on spectrally resolving detector arrays.Journal of biomedical optics · 2018Article
- High Dynamic Range Spectral Imaging Pipeline For Multispectral Filter Array Cameras.Sensors (Basel, Switzerland) · 2017Article
- Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array.Journal of biophotonics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The ability to resolve multiple fluorescent emissions from different biological targets in video rate applications, such as endoscopy and intraoperative imaging, has traditionally been limited by the use of filter-based imaging systems. Hyperspectral imaging (HSI) facilitates the detection of both spatial and spectral information in a single data acquisition, however, instrumentation for HSI is typically complex, bulky and expensive. We sought to overcome these limitations using a novel robust and low cost HSI camera based on a spectrally resolved detector array (SRDA). We integrated this HSI camera into a wide-field reflectance-based imaging system operating in the near-infrared range to assess the suitability for in vivo imaging of exogenous fluorescent contrast agents. Using this fluorescence HSI (fHSI) system, we were able to accurately resolve the presence and concentration of at least 7 fluorescent dyes in solution. We also demonstrate high spectral unmixing precision, signal linearity with dye concentration and at depth in tissue mimicking phantoms, and delineate 4 fluorescent dyes in vivo. Our approach, including statistical background removal, could be directly generalised to broader spectral ranges, for example, to resolve tissue reflectance or autofluorescence and in future be tailored to video rate applications requiring snapshot HSI data acquisition.
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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.