Grant: Discovery Grants Program - Individual
University of Manitoba
$56,000.00
Sparse integrated computational optical imaging systems
EF 2022-23
Résumé
Integrated Computational Optical Imaging (ICOI) is a highly promising approach that involves the joint design of modified optical hardware and digital processing algorithms to achieve imaging performance, e.g., high resolution, large field-of-view, high frame rates, that would otherwise be unattainable by the unmodified system.To overcome bandwidth limitations (spatial Optical coherence tomography (OCT) is an important sub-surface imaging modality for numerous medical and industrial applications. It has one to two orders of magnitude higher resolution than ultrasound and typical imaging depth of (~ 2 mm) in biological tissue.1. Develop a real-time submicron-resolution compressed sensing full field OCT system 2. Develop & implement real-time sparse detection of vascular plaque from OCT images3. Develop a method to extend depth-of-field (>10 times) of high NA (magnification) microscope4. Generalize our OCT system simulator to allow imaging with finite-width light beams.We anticipate a high impact of our proposed research because 1) our novel full field - OCT system would allow 3D cell imaging cells up to a depth of 850 µ m compared to the 100 µ m imaging depth currently allowed by confocal microscopy; 2) the ability to extend the depth-of-field of high NA (magnification) optical microscopes, without loss of lateral resolution, optical power, or objective's working distance, would have a strong positive impact on a wide variety of scientific and industrial applications; 3) we anticipate a high potential for commercialization for the proposed extended depth-of-field microscopy and the proposed real-time detector of vascular plaque w from OCT images; 4) the availability of a practical, accurate and fast computer simulator of OCT systems would be an extremely useful tool to enable and/or facilitate future design of higher performance OCT systems. The proposed research program will also create unique opportunities to train 2 Ph.D. and 2 M.Sc. and 5 undergraduate students in both theoretical and practical aspects of Imaging Systems, Optics, Data Acquisition, Image Processing and Advanced Computing.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2018-06453
Name nom
Sherif, Sherif
Department département
Electrical and Computer Engineering - Electrical and Computer Engineering
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2018
Award amount
56000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1510
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et informatique
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2500
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electrical and electronic engineering
Research subject fr
Génie électrique et électronique
Installment
inst:5;6
Partie
2
Nb partie
6
Application title
Sparse integrated computational optical imaging systems
Application summary
Integrated Computational Optical Imaging (ICOI) is a highly promising approach that involves the joint design of modified optical hardware and digital processing algorithms to achieve imaging performance, e.g., high resolution, large field-of-view, high frame rates, that would otherwise be unattainable by the unmodified system.To overcome bandwidth limitations (spatial Optical coherence tomography (OCT) is an important sub-surface imaging modality for numerous medical and industrial applications. It has one to two orders of magnitude higher resolution than ultrasound and typical imaging depth of (~ 2 mm) in biological tissue.1. Develop a real-time submicron-resolution compressed sensing full field OCT system 2. Develop & implement real-time sparse detection of vascular plaque from OCT images3. Develop a method to extend depth-of-field (>10 times) of high NA (magnification) microscope4. Generalize our OCT system simulator to allow imaging with finite-width light beams.We anticipate a high impact of our proposed research because 1) our novel full field - OCT system would allow 3D cell imaging cells up to a depth of 850 µ m compared to the 100 µ m imaging depth currently allowed by confocal microscopy; 2) the ability to extend the depth-of-field of high NA (magnification) optical microscopes, without loss of lateral resolution, optical power, or objective's working distance, would have a strong positive impact on a wide variety of scientific and industrial applications; 3) we anticipate a high potential for commercialization for the proposed extended depth-of-field microscopy and the proposed real-time detector of vascular plaque w from OCT images; 4) the availability of a practical, accurate and fast computer simulator of OCT systems would be an extremely useful tool to enable and/or facilitate future design of higher performance OCT systems. The proposed research program will also create unique opportunities to train 2 Ph.D. and 2 M.Sc. and 5 undergraduate students in both theoretical and practical aspects of Imaging Systems, Optics, Data Acquisition, Image Processing and Advanced Computing.