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Deal J, McFarland SJ, Robinson A, Alford A, Weber DS, Rich TC, Leavesley SJ. Hyperspectral imaging fluorescence excitation scanning spectral characteristics of remodeled mouse arteries. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2019; 10890:108902M. [PMID: 34045786 PMCID: PMC8151224 DOI: 10.1117/12.2510770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Coronary artery disease (CAD), or atherosclerosis, is responsible for nearly a third of all American deaths annually. Detection of plaques and differentiation of plaque stage remains a complicating factor for treatment. Classification of plaque before significant blockage or rupture could inform clinical decisions and prevent mortality. Current detection methods are either nonspecific, slow, or require the use of potentially harmful contrast agents. Recent advances in hyperspectral imaging could be used to detect changes in the autofluorescence of arteries associated with vessel remodeling and subsequent plaque formation and could detect and classify existing lesions. Here, we present data comparing spectral image characteristics of a mouse model designed to undergo vessel remodeling. C57Bl/6 mice underwent ligation of three of four caudal branches of the left common carotid artery (left external carotid, internal carotid, and occipital artery) with the superior thyroid artery left intact under IACUC approved protocol. Vessels were harvested at a variety of timepoints to compare degrees of remodeling, including 4 weeks and 5 months post-surgery. Immediately following harvest, vessels were prepared by longitudinal opening to expose the luminal surface to a 20X objective. A custom inverted microscope (TE-2000, Nikon Instruments) with a Xe arc lamp and thin film tunable filter arrary (Versachrome, Semrock, Inc.) were used to achieve spectral imaging. Excitation scans utilized wavelengths between 340 nm and 550 nm in 5 nm increments. Hyperspectral data were generated and analyzed with custom Matlab scripts and visualized in ENVI. Preliminary data suggest consistent spectral features associated with control and remodeled vessels.
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Affiliation(s)
- Joshua Deal
- Department of Chemical & Biomolecular Engineering, University of South Alabama
- Center for Lung Biology, University of South Alabama
- Department of Pharmacology, University of South Alabama
| | | | | | - Anna Alford
- Department of Physics and Mathematics, Furman University
| | - David S Weber
- Department of Physiology & Cell Biology, University of South Alabama
| | - Thomas C Rich
- Center for Lung Biology, University of South Alabama
- Department of Pharmacology, University of South Alabama
| | - Silas J Leavesley
- Department of Chemical & Biomolecular Engineering, University of South Alabama
- Center for Lung Biology, University of South Alabama
- Department of Pharmacology, University of South Alabama
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Deal J, Mayes S, Browning C, Hill S, Rider P, Boudreaux C, Rich TC, Leavesley SJ. Identifying molecular contributors to autofluorescence of neoplastic and normal colon sections using excitation-scanning hyperspectral imaging. JOURNAL OF BIOMEDICAL OPTICS 2018; 24:1-11. [PMID: 30592190 PMCID: PMC6307688 DOI: 10.1117/1.jbo.24.2.021207] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Accepted: 11/26/2018] [Indexed: 05/03/2023]
Abstract
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.
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Affiliation(s)
- Joshua Deal
- University of South Alabama, Department of Chemical and Biomolecular Engineering, Mobile, Alabama, United States
- University of South Alabama, Department of Pharmacology, Mobile, Alabama, United States
- University of South Alabama, Center for Lung Biology, Mobile, Alabama, United States
| | - Sam Mayes
- University of South Alabama, Department of Chemical and Biomolecular Engineering, Mobile, Alabama, United States
- University of South Alabama, Department of Systems Engineering, Mobile, Alabama, United States
| | - Craig Browning
- University of South Alabama, Department of Chemical and Biomolecular Engineering, Mobile, Alabama, United States
- University of South Alabama, Department of Systems Engineering, Mobile, Alabama, United States
| | - Shante Hill
- University of South Alabama, Department of Pathology, Mobile, Alabama, United States
| | - Paul Rider
- University of South Alabama, Department of Surgery, Mobile, Alabama, United States
| | - Carole Boudreaux
- University of South Alabama, Department of Pathology, Mobile, Alabama, United States
| | - Thomas C. Rich
- University of South Alabama, Department of Pharmacology, Mobile, Alabama, United States
- University of South Alabama, Center for Lung Biology, Mobile, Alabama, United States
| | - Silas J. Leavesley
- University of South Alabama, Department of Chemical and Biomolecular Engineering, Mobile, Alabama, United States
- University of South Alabama, Department of Pharmacology, Mobile, Alabama, United States
- University of South Alabama, Center for Lung Biology, Mobile, Alabama, United States
- University of South Alabama, Department of Systems Engineering, Mobile, Alabama, United States
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Korneva YS, Dorosevich AE, Maryakhina VS. Fluorescent diagnostics of epithelial neoplasms of different colon parts. Lasers Surg Med 2017; 49:763-766. [PMID: 28470968 DOI: 10.1002/lsm.22683] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Changes in the biochemical composition of the tissue during colon cancer progression usually precede morphological changes registered by light microscopy. These changes are very sensitive and may be used for diagnostics in difficult cases, when it is impossible to obtain sufficient amount of material during colonoscopy. The aim of the study is analysis of spectral characteristics of sporadic adenomas and tumors in different parts of colon for improving tumors diagnostics in disputable cases. DESIGN The spectra of fluorescence excitation of histological sections from 78 patients with colon cancer (adenocarcinoma) and colonic adenomas of different localizations were measured. RESULTS The spectra of fluorescence excitation of all types of adenomas as well as adenocarcinoma have two maxima at 260/270 nm and at 330/340 nm. The first maximum is primarily defined by tryptophan and phenylalanin containing peptides, one of them is glucagon. The second maximum is mainly defined by collagen in stroma. Progression of precancer lesions to advanced cancer leads to increase of NADH concentration impacting on the second maximum of spectra. However, spectra of all types of the investigated lesions have peculiarities depending on localization. At odds to the previous data about similarities between distal colon and rectum, our results demonstrate similar spectra for proximal colon and rectum due to some similarities in morphological and, as a consequence, biochemical composition. Tumor can be detected by spectral techniques on histological slides even if the specimen contains very few tumorous cells in stroma. CONCLUSION Biochemical changes and their similarities for precancer lesions and advanced colon cancer have described. Peculiarities of spectral data for different parts of colon may change the previous opinion about similar mechanisms of cancerogenesis for distal colon and rectum. Moreover, investigation of tissue specimen obtained for histological examination and containing lack of malignant epithelial cells in massive stroma does not interfere with analysis due to specific disproportion of spectrum maxima. Lasers Surg. Med. 49:763-766, 2017. © 2017 Wiley Periodicals, Inc.
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Affiliation(s)
- Yulia S Korneva
- Department of Pathological Anatomy, Smolensk State Medical University, 28 Krupskoy st., Smolensk, 214019, Russia.,Smolensk Regional Institute of Pathology, 27 Gagarina av., Smolensk, 214020, Russia
| | - Alexander E Dorosevich
- Department of Pathological Anatomy, Smolensk State Medical University, 28 Krupskoy st., Smolensk, 214019, Russia.,Smolensk Regional Institute of Pathology, 27 Gagarina av., Smolensk, 214020, Russia
| | - Valeriya S Maryakhina
- Institute of micro- and nanotechnologies, Orenburg State University, 13 Pobedy st., Orenburg, 460018, Russia
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