Deal 2018 Identifying Molecular Contributors of Autofluorescence of Neoplastic and Normal Colon Sections Using Excitation Scanning Hyperspectral Imaging.pdf
journal contributionposted on 08.03.2019 by Joshua Deal, Sam Mayes, Craig Browning, Shante Hill, Paul Rider, Carole Boudreaux, Thomas C. Rich, Silas J. Leavesley
Any type of content formally published in an academic journal, usually following a peer-review process.
Autofluorescence, the endogenous fluorescence present in cells and tissues, has historically been
considered a nuisance in biomedical imaging. Many endogenous fluorophores, specifically, collagen, elastin,
nicotinamide adenine dinucleotide, and flavin adenine dinucleotide (FAD), are found throughout the human
body. In fluorescence imaging scenarios, these signals can be prohibitive as they can outcompete signals introduced
for diagnostic purposes. However, autofluorescence also contains information that has diagnostic value.
Recent advances in hyperspectral imaging have allowed the acquisition of significantly more data in a shorter
time period by scanning the excitation spectra of fluorophores. The reduced acquisition time and increased signal-
to-noise ratio allow for separation of significantly more fluorophores than previously possible. We propose to
utilize excitation-scanning hyperspectral imaging of autofluorescence to differentiate neoplastic lesions from
surrounding non-neoplastic “normal” tissue. The spectra of isolated autofluorescent molecules are obtained
using a custom inverted microscope (TE-2000, Nikon Instruments) with an Xe arc lamp and thin-film tunable
filter array (VersaChrome, Semrock, Inc.). Scans utilize excitation wavelengths from 360 to 550 nm in 5-nm
increments. The resultant molecule-specific spectra are used to analyze hyperspectral image stacks from
normal and neoplastic colorectal tissues. Due to a limited number of samples, neoplastic tissues examined here
are a pool of both colorectal adenocarcinoma and adenomatous polyps. The hyperspectral images are analyzed
with ENVI software and custom MATLAB scripts, including linear spectral unmixing. Initial results indicate the
ability to separate signals of endogenous fluorophores and measure the relative concentrations of fluorophores
among healthy and diseased states, in this case, normal colon versus neoplastic colon. These results suggest
pathology-specific changes to endogenous fluorophores can be detected using excitation-scanning hyperspectral
imaging. Future work will focus on expanding the library of pure molecules, exploring histogram distance
metrics as a means for identifying deviations in spectral signatures, and examining more defined disease states.