Development of Accessible Hyperspectral Imaging Architectures Towards Biomedical Applications

dc.contributor.advisorCollier, Christopher
dc.contributor.authorBrodie, C. Harrison
dc.date.accessioned2018-12-20T14:09:07Z
dc.date.available2018-12-20T14:09:07Z
dc.date.copyright2018-12
dc.date.created2018-12-06
dc.date.issued2018-12-20
dc.degree.departmentSchool of Engineeringen_US
dc.degree.grantorUniversity of Guelphen_US
dc.degree.nameMaster of Applied Scienceen_US
dc.degree.programmeEngineeringen_US
dc.description.abstractHyperspectral imaging combines the attributes of imaging (detecting physical features) and spectroscopy (detecting chemical features) and is a technology with great potential in many applications. However, to facilitate widespread adoption of hyperspectral imaging, such systems require enhanced accessibility (i.e., being inexpensive and upcomplicated) and can be developed as novel hyperspectral imaging instrumentation architectures. This thesis presents, designs, develops, and evaluates an accessible hyperspectral imaging instrumentation architecture, with snapshot operation, based on the integration of readily-available components and frequency multiplexing with Fourier analyses. This is achieved through the identification of incident spatial image channels with frequency encoding from unique dynamic binary codes. Comparison to data from a commercial spectrometer reveals the performance of the hyperspectral imaging instrumentation architecture. Overall, the hyperspectral imaging instrumentation architecture compares favourably to commercially available products and can be adapted for two-dimensional operation. The presented hyperspectral imaging instrumentation architecture can provide benefit for regions of the world that have limited financial resources and have a need for accessible hyperspectral imaging technologies.en_US
dc.identifier.urihttp://hdl.handle.net/10214/14674
dc.language.isoenen_US
dc.publisherUniversity of Guelphen_US
dc.rights.licenseAll items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated.
dc.subjectHyperspectral imagingen_US
dc.subjectSpectroscopyen_US
dc.subjectInstrumentationen_US
dc.subjectFrequency multiplexingen_US
dc.subjectDiffractionen_US
dc.titleDevelopment of Accessible Hyperspectral Imaging Architectures Towards Biomedical Applicationsen_US
dc.typeThesisen_US

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