Grant: CCI Applied Research and Development Grants
La Cité collégiale
$32,620.00
Data Denoising using AI for improving the accuracy of Solid-State Nanopore Sensing
FY 2022-23
Summary
Northern Nanopore Instruments (NNi), a spin-off of the University of Ottawa incorporated in 2020, is an instrumentation company that specializes in research tools and solutions to support fundamental and applied research on solid-state nanopores. The Center of Expertise in Smart Prototyping (CEPI) of La Cité in Ottawa which will do the applied research on this project has expertise in AI. Solid-state nanopores-tiny holes in thin membranes similar in size to a molecule of DNA or a typical protein-are set to disruptive multiple critical markets, including proteomics, DNA sequencing, drug discovery, next-generation digital information storage, and more. The operating principle is simple: when a voltage is applied across the nanopore in conductive solution, ionic current is driven through the pore, and biomolecules will block the ionic current during passage. The shape and characteristic of that blockage signal, if carefully decoded, provides a wealth of information about the translocating molecule. One of NNi's product offerings in an analysis and signal processing suite called Nanolyzer, intended to analyze and interpret the signals generated during nanopore operation. Typically, signals collected from nanopore sensing are polluted with noise from numerous sources. Traditional frequency-based filtering distorts the signal and further complicates analysis. This project goal is to use a deep learning approach to separate signal from noise and thereby reduce the noise with minimal distortion to the signal. The value would be a better signal signal-to-noise ratio improving interpretation of the signals generated by biomolecules passing through the nanopore. The CEPI's team will help Northern Nanopore Instruments achieve this goal.
Program
CCI Applied Research and Development Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CCARD-2022-00591
Name nom
Renaud, Eric
Department département
Head Office/Siège social
Organization id
28248
Institution établissement
La Cité collégiale
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
32620
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
97
Committee name en
Scholarships and Fellowships Internal Decision Committee
Committee name fr
Comité de décision interne - Bourses
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Installment
inst:1
Partie
1
Nb partie
1
Application title
Data Denoising using AI for improving the accuracy of Solid-State Nanopore Sensing
Application summary
Northern Nanopore Instruments (NNi), a spin-off of the University of Ottawa incorporated in 2020, is an instrumentation company that specializes in research tools and solutions to support fundamental and applied research on solid-state nanopores. The Center of Expertise in Smart Prototyping (CEPI) of La Cité in Ottawa which will do the applied research on this project has expertise in AI. Solid-state nanopores-tiny holes in thin membranes similar in size to a molecule of DNA or a typical protein-are set to disruptive multiple critical markets, including proteomics, DNA sequencing, drug discovery, next-generation digital information storage, and more. The operating principle is simple: when a voltage is applied across the nanopore in conductive solution, ionic current is driven through the pore, and biomolecules will block the ionic current during passage. The shape and characteristic of that blockage signal, if carefully decoded, provides a wealth of information about the translocating molecule. One of NNi's product offerings in an analysis and signal processing suite called Nanolyzer, intended to analyze and interpret the signals generated during nanopore operation. Typically, signals collected from nanopore sensing are polluted with noise from numerous sources. Traditional frequency-based filtering distorts the signal and further complicates analysis. This project goal is to use a deep learning approach to separate signal from noise and thereby reduce the noise with minimal distortion to the signal. The value would be a better signal signal-to-noise ratio improving interpretation of the signals generated by biomolecules passing through the nanopore. The CEPI's team will help Northern Nanopore Instruments achieve this goal.