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Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology

Jared M. Campbell, Saabah B. Mahbub, Abbas Habibalahi, Adnan Agha, Shannon Handley, Ayad G. Anwer, Ewa M. Goldys

2023Journal of Biophotonics13 citationsDOIOpen Access PDF

Abstract

Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell-native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non-invasive, non-destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications-including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.

Topics & Concepts

Hyperspectral imagingAutofluorescenceMultispectral imageSpectral imagingContext (archaeology)PathologyComputer scienceMedicineBiomedical engineeringMedical physicsArtificial intelligenceFluorescenceOpticsBiologyPhysicsPaleontologyOptical Imaging and Spectroscopy TechniquesSpectroscopy Techniques in Biomedical and Chemical ResearchPhotodynamic Therapy Research Studies
Clinical applications of non‐invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology | Litcius