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Grant: Project Grant

Université Laval

$1,239,300.00

Optical Nanoscopy of cytoskeletal and synaptic remodeling in neurons

EF 2021-22

Résumé
Solving brain disorders requires knowledge of the molecular components of its cells, their architecture and spatial dynamics and their interactions inside subcellular compartments. The scale of molecular components (e.g. nanometers) inside cells has however precluded scientists from observing them in their proper native, live context. We and others have developed methods, called super-resolution optical methods, which we propose to use to study synaptic signaling and remodeling in brain tissue. However, in order to exploit these optical methods rigorously and quantitatively, we have had to develop machine-learning based approaches to i) assist the microscopes and provide them with adaptive features and to ii) analyze the images. In using these combined approaches we have made unpresented discoveries on intracellular structures of neurons. Our proposed experiments aim to further understand these structures and learn how they affect the capacity of nerve cells to support learning and memory, in health and disease.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
453139
Name
De Koninck Paul
Region
Québec
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Molecular & Cellular Neurosciences - B
Projecttitle
Optical Nanoscopy of cytoskeletal and synaptic remodeling in neurons
Programtype2
Operating Grants
Orgnameinp2
Université Laval
Cihramount2
$1,239,300
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Calcium Imaging; Cytoskeleton; Deep Learning; Dendrites; F-Actin; Live Optical Imaging; Machine Learning; Single Molecule Imaging; Super-Resolution Microscopy; Synaptic Plasticity
Abstract
Solving brain disorders requires knowledge of the molecular components of its cells, their architecture and spatial dynamics and their interactions inside subcellular compartments. The scale of molecular components (e.g. nanometers) inside cells has however precluded scientists from observing them in their proper native, live context. We and others have developed methods, called super-resolution optical methods, which we propose to use to study synaptic signaling and remodeling in brain tissue. However, in order to exploit these optical methods rigorously and quantitatively, we have had to develop machine-learning based approaches to i) assist the microscopes and provide them with adaptive features and to ii) analyze the images. In using these combined approaches we have made unpresented discoveries on intracellular structures of neurons. Our proposed experiments aim to further understand these structures and learn how they affect the capacity of nerve cells to support learning and memory, in health and disease.
Competitiondate
202109
Approvedterm2
5 yrs 0 mth
Pinamesdelim
De Koninck, Paul; Lavoie-Cardinal, Flavie
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,239,300~ $0~