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.
Highlights
HyperSpectral Imaging (HSI) is a powerful analytical tool based on the detection of both spatial and spectral information within a single data set, referred to as a HSI cube (x-y-l)
The reflectivity of the cavity mirrors and the angle of incidence of the illumination light determine the full width at half maximum (FWHM) of the spectral response [31]
We hypothesized that the use of SRDAs could provide a compact and cost effective approach to acquisition of fluorescence HSI (fHSI) data, which would aid future clinical application of the approach
Summary
HyperSpectral Imaging (HSI) is a powerful analytical tool based on the detection of both spatial and spectral information within a single data set, referred to as a HSI cube (x-y-l). The power of HSI lies in the ability to determine the chemical composition of a sample based on characteristic spectral signatures, using multivariate statistical methods to produce a spatial map of the chemical constituents. The ability to detect multiple fluorescent labels targeted to different processes is highly advantageous across a range of length scales in biomedical imaging: from studying complex molecular interactions in cells at super-resolution [4]; through monitoring contrast agent biodistribution in small animals [5, 6]; to diagnosing, characterising and resecting cancer in humans [7, 8]. Implementations of fluorescence HSI (fHSI) systems in microscopic [9]
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