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Spectrally resolved detector arrays for multiplexed biomedical fluorescence imaging

Author: Anna Siri Luthman
Publisher: Cham, Switzerland : Springer, [2018]
Series: Springer theses.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
And Rationale -- Spectral Imaging Systems and Sensor Characterisations -- Wide-field fHSI with a Linescan SRDA -- A Multispectral Endoscope Based on SRDAs -- Conclusions and Outlook.
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Genre/Form: Electronic books
Additional Physical Format: (OCoLC)1044846186
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Anna Siri Luthman
ISBN: 9783319982557 3319982559
OCLC Number: 1048402971
Description: 1 online resource.
Contents: Intro; Supervisor's Foreword; Abstract; Parts of this thesis have been published in the following articles:; Publications; Conference Proceedings; Acknowledgements; Contents; Acronyms/Abbreviations; 1 Summary and Rationale; References; 2 Spectral Imaging Systems and Sensor Characterisations; 2.1 Literature Review; 2.1.1 Overview of MSI/HSI Systems; 2.1.2 Spectrally Resolved Detector Arrays; 2.1.3 The Imec and SILIOS Sensors; 2.1.4 Standard Camera Calibration Methods; 2.1.5 Calibration Methods for SRDAs; 2.2 Experimental Methods; 2.2.1 QE Calibration of the Imec Linescan Sensor 2.2.2 QE Calibration of the SILIOS Snapshot Sensor2.2.3 F Number Calibrations of SRDAs; 2.3 Results; 2.3.1 QE Calibration of the Imec Linescan Sensor; 2.3.2 QE Calibration of the SILIOS Snapshot Sensor; 2.3.3 F Number Calibrations of SRDAs; 2.4 Discussion and Conclusions; References; 3 Wide-Field fHSI with a Linescan SRDA; 3.1 Literature Review; 3.1.1 Multiplexed Fluorescence Imaging for Biomedical Applications; 3.1.2 Spectral Unmixing and Reflectance Background Removal; 3.2 Experimental Methods; 3.2.1 System Design, Calibration and Characterisation 3.2.2 Imaging Protocol and Hyperspectral Data Pre-processing3.2.3 Sample Preparation and Imaging; 3.3 Results; 3.3.1 System Characterisation; 3.3.2 Well Plate Data; 3.3.3 Phantom Data; 3.3.4 In Vivo Data; 3.4 Discussion and Conclusions; References; 4 A Multispectral Endoscope Based on SRDAs; 4.1 Literature Review; 4.1.1 Challenges of Early Cancer Detection in Endoscopy; 4.1.2 Advanced Endoscopy Based on Intrinsic Tissue Contrast; 4.1.3 Targeted Contrast Agents and Optical Molecular Imaging; 4.1.4 Existing Approaches to Spectral Endoscopy; 4.1.5 The Potential of SRDAs for Endoscopy 4.2 Experimental Methods4.2.1 Endoscope Design and Assembly; 4.2.2 Model of the Endoscope's Spectral Transmission Characteristics; 4.2.3 Imaging Protocol and Data Pre-Processing; 4.2.4 Technical Characterisation; 4.2.5 Sample Preparation and Imaging; 4.3 Results; 4.3.1 Model of the Endoscope's Spectral Transmission Characteristics; 4.3.2 Technical Characterisation; 4.3.3 Imaging Performance; 4.4 Discussion and Conclusions; References; 5 Conclusions and Outlook; References; Components Tested in Endoscope Model
Series Title: Springer theses.
Responsibility: Anna Siri Luthman.

Abstract:

The simplest SRDA is the standard colour camera, which integrates a Bayer filter array of red, green and blue colour filters to replicate the colour sensing capability of the human eye.  Read more...

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