Compressive Sensing Based Hyperspectral Bioluminescent Imaging

Alexander Bentley; Jonathan E. Rowe; Hamid Dehghani

doi:10.1117/12.2507223

Compressive Sensing Based Hyperspectral Bioluminescent Imaging

Alexander Bentley, Jonathan E. Rowe, Hamid Dehghani

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Abstract

Photonics based imaging is a widely utilised technique for the study of biological functions within pre-clinical studies. It is a sensitive and non-invasive technique that is able to detect distributed (biologically informative) visible and near-infrared light sources providing information about biological function. Compressive Sensing (CS) is a method of signal processing that works on the basis that a signal or image can be compressed without important information being lost. This work describes the development of a CS based hyperspectral Bioluminescence imaging system that can be used to collect compressed fluence data from the external surface of an animal model, due to an internal source, providing lower acquisition times, higher spectral content and potentially better tomographic source localisation.

Original language	English
Title of host publication	SPIE Proceedings - High-Speed Biomedical Imaging and Spectroscopy IV
Editors	Kevin K. Tsia, Keisuke Goda
Publisher	Society of Photo-Optical Instrumentation Engineers
Number of pages	6
Volume	10889
DOIs	https://doi.org/10.1117/12.2507223
Publication status	Published - 4 Mar 2019
Event	SPIE BIOS High-Speed Biomedical Imaging and Spectroscopy IV - San Francisco, United States Duration: 2 Feb 2019 → 7 Feb 2019

Publication series

Name	SPIE Proceedings
Volume	10889

Conference

Conference	SPIE BIOS High-Speed Biomedical Imaging and Spectroscopy IV
Country/Territory	United States
City	San Francisco
Period	2/02/19 → 7/02/19

Keywords

Hyperspectral
Bioluminescence
Compressive Sensing
Spectrometer
Tomography

Access to Document

10.1117/12.2507223

Bentley_et_al_Compressive_sensing_based_hyperspectral_SPIE_Proceedings-High-Speed_Biomedical_Imaging_and_Spectroscopy_IV_2019
Checked for eligibility:03/04/2019 Copyright 2019 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited. Alexander Bentley, Jonathan E. Rowe, and Hamid Dehghani "Compressive sensing based hyperspectral bioluminescence imaging", Proc. SPIE 10889, High-Speed Biomedical Imaging and Spectroscopy IV, 108891H (4 March 2019); https://doi.org/10.1117/12.2507223
Accepted author manuscript, 210 KBLicence: None: All rights reserved

Cite this

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title = "Compressive Sensing Based Hyperspectral Bioluminescent Imaging",

abstract = "Photonics based imaging is a widely utilised technique for the study of biological functions within pre-clinical studies. It is a sensitive and non-invasive technique that is able to detect distributed (biologically informative) visible and near-infrared light sources providing information about biological function. Compressive Sensing (CS) is a method of signal processing that works on the basis that a signal or image can be compressed without important information being lost. This work describes the development of a CS based hyperspectral Bioluminescence imaging system that can be used to collect compressed fluence data from the external surface of an animal model, due to an internal source, providing lower acquisition times, higher spectral content and potentially better tomographic source localisation.",

keywords = "Hyperspectral, Bioluminescence, Compressive Sensing, Spectrometer, Tomography",

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volume = "10889",

series = "SPIE Proceedings",

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booktitle = "SPIE Proceedings - High-Speed Biomedical Imaging and Spectroscopy IV",

address = "United States",

note = "SPIE BIOS High-Speed Biomedical Imaging and Spectroscopy IV ; Conference date: 02-02-2019 Through 07-02-2019",

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Bentley, A, Rowe, JE & Dehghani, H 2019, Compressive Sensing Based Hyperspectral Bioluminescent Imaging. in KK Tsia & K Goda (eds), SPIE Proceedings - High-Speed Biomedical Imaging and Spectroscopy IV. vol. 10889, 54, SPIE Proceedings, vol. 10889, Society of Photo-Optical Instrumentation Engineers, SPIE BIOS High-Speed Biomedical Imaging and Spectroscopy IV, San Francisco, United States, 2/02/19. https://doi.org/10.1117/12.2507223

Compressive Sensing Based Hyperspectral Bioluminescent Imaging. / Bentley, Alexander; Rowe, Jonathan E.; Dehghani, Hamid.
SPIE Proceedings - High-Speed Biomedical Imaging and Spectroscopy IV. ed. / Kevin K. Tsia; Keisuke Goda. Vol. 10889 Society of Photo-Optical Instrumentation Engineers, 2019. 54 (SPIE Proceedings; Vol. 10889).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Compressive Sensing Based Hyperspectral Bioluminescent Imaging

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AU - Rowe, Jonathan E.

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AB - Photonics based imaging is a widely utilised technique for the study of biological functions within pre-clinical studies. It is a sensitive and non-invasive technique that is able to detect distributed (biologically informative) visible and near-infrared light sources providing information about biological function. Compressive Sensing (CS) is a method of signal processing that works on the basis that a signal or image can be compressed without important information being lost. This work describes the development of a CS based hyperspectral Bioluminescence imaging system that can be used to collect compressed fluence data from the external surface of an animal model, due to an internal source, providing lower acquisition times, higher spectral content and potentially better tomographic source localisation.

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KW - Tomography

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M3 - Conference contribution

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T3 - SPIE Proceedings

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A2 - Tsia, Kevin K.

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ER -

Compressive Sensing Based Hyperspectral Bioluminescent Imaging

Abstract

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Keywords

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