Random access spectral imaging

Kelleher, Patrick (2015) Random access spectral imaging. PhD thesis, University of Glasgow.

Full text available as:
Download (15MB) | Preview
Printed Thesis Information: https://eleanor.lib.gla.ac.uk/record=b3139636


A salient goal of spectral imaging is to record a so-called hyperspectral data-cube, consisting of two spatial and one spectral dimension. Traditional approaches are based on either time-sequential scanning in either the spatial or spectral dimension: spatial scanning involves passing a fixed aperture over a scene in the manner of a raster scan and spectral scanning is generally based on the use of a tuneable filter, where typically a series of narrow-band images of a fixed field of view are recorded and assembled into the data-cube. Such techniques are suitable only when the scene in question is static or changes slower than the scan rate.

When considering dynamic scenes a time-resolved (snapshot) spectral imaging technique is required. Such techniques acquire the whole data-cube in a single measurement, but require a trade-off in spatial and spectral resolution. These trade-offs prevent current snapshot spectral imaging techniques from achieving resolutions on par with time-sequential techniques.
Any snapshot device needs to have an optical architecture that allows it to gather light from the scene and map it to the detector in a way that allows the spatial and spectral components can be de-multiplexed to reconstruct the data-cube. This process results in the decreased resolution of snapshot devices as it becomes a problem of mapping a 3D data-cube onto a 2D detector. The sheer volume of data present in the data-cube also presents a processing challenge, particularly in the case of real-time processing.

This thesis describes a prototype snapshot spectral imaging device that employs a random-spatial-access technique to record spectra only from the regions of interest in the scene, thus enabling
maximisation of integration time and minimisation of data volume and recording rate.
The aim of this prototype is to demonstrate how a particular optical architecture will allow for
the effect of some of the above mentioned bottlenecks to be removed. Underpinning the basic
concept is the fact that in all practical scenes most of the spectrally interesting information is
contained in relatively few pixels. The prototype system uses random-spatial-access to multiple
points in the scene considered to be of greatest interest. This enables time-resolved high
resolution spectrometry to be made simultaneously at points across the full field of view.

The enabling technology for the prototype was a digital micromirror device (DMD), which is an array of switchable mirrors that was used to create a two channel system. One channel was to a conventional imaging camera, while the other was to a spectrometer. The DMD acted as a dynamic aperture to the spectrometer and could be used to open and close slits in any part of the spectrometer aperture. The imaging channel was used to guide the selection of points of interest from the scene. An extensive geometric calibration was performed to determine the relationships between the DMD and two channels of the system.

Two demonstrations of the prototype are given in this thesis: a dynamic biological scene and a static scene sampled using statistical sampling methods enabled by the dynamic aperture of the system. The dynamic scene consisted of red blood cells in motion and also undergoing a process of de-oxygenation which resulted in a change in the spectrum. Ten red blood cells were tracked across the scene and the expected change in spectrum was observed. For the second example the prototype was modified for Raman spectroscopy by adding laser illumination, a mineral sample was scanned and used to test statistical sampling methods. These methods exploited the re-configurable aperture of the system to sample the scene using blind random sampling and a grid based sampling approach. Other spectral imaging systems have a fixed aperture and cannot operate such sampling schemes.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Keywords: Random-access, spectral imaging, random access spectral imaging, red blood cells, digital micromirror device
Subjects: Q Science > QC Physics
Colleges/Schools: College of Science and Engineering > School of Physics and Astronomy
Supervisor's Name: Harvey, Professor Andrew
Date of Award: 2015
Depositing User: Mr. Patrick Kelleher
Unique ID: glathesis:2015-6889
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 25 Nov 2015 09:52
Last Modified: 08 Jan 2016 13:17
URI: http://theses.gla.ac.uk/id/eprint/6889

Actions (login required)

View Item View Item


Downloads per month over past year