Abstract
Oral cancer incidences have been increasing in recent years and late detection often leads to poor prognosis. Raman spectroscopy has been identified has a valuable diagnostic tool for cancer but its time consuming nature has prevented its clinical use. For Raman to become a realistic aid to histopathology, a rapid pre-screening technique is required to find small regions of interest on tissue sections [1]. The aim of this work is to investigate the feasibility of hyperspectral imaging in the visible spectral range as a fast imaging technique before Raman is performed. We have built a hyperspectral microscope which captures 300 focused and intensity corrected images with wavelength ranging from 450-750 nm in around 30 minutes with sub-micron spatial resolution and around 10 nm spectral resolution. Hyperstacks of known absorbing samples, including fluorescent dyes and dried blood droplets, show excellent results with spectrally accurate transmission spectra and concentration-dependent intensity variations. We successfully showed the presence of different components from a non-absorbent saliva droplet sample. Data analysis is the greatest hurdle to the interpretation of more complex data such as unstained tissue sections.
Original language | English |
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Title of host publication | High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II |
Publisher | SPIE |
Volume | 10076 |
ISBN (Electronic) | 9781510605930 |
DOIs | |
Publication status | Published - 2017 |
Event | High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017 - San Francisco, United States Duration: 30 Jan 2017 → 1 Feb 2017 |
Conference
Conference | High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017 |
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Country/Territory | United States |
City | San Francisco |
Period | 30/01/2017 → 1/02/2017 |
Keywords
- classification
- cluster analysis
- diagnosis
- hyperspectral
- microscopy
- oral cancer
- Raman spectroscopy
- transmission