Grant: CCI Applied Research and Development Grants
Collège La Cité
$40,000.00
Development of the microbial database of Bioeureka application, an AI-powered microscope image recognizer
EF 2024-25
Résumé
Bioeureka is a company specialize in AI-powered image recognition. Their software can analyze, catalogs, and interprets images of samples from microscopes picture. The AI-assisted visual recognition tool uses the device's camera to analyze the sample and compared the result to a large database of all pathogens (bacteria, fungi, and other microorganisms, etc.). Once the pathogen is identified, the app displays the strains, as well as the confidence level, allowing the researcher to better organize the rest of the protocol to achieve double validation. The main objective of the company is to develop an efficient, inexpensive, and fast method of identifying micro-organisms with the use of artificial intelligence. The project objectives include the enrichment of the microbial database, the study of physicochemical and metabolic activities of microorganisms and the validation of strain genetic identity with sequencing.
Programme
CCI Applied Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CCARD-2023-00216
Name nom
Le Roy, Julien
Department département
Centre d'accès à la technologie en bio-innovation - Bureau de recherche et de l'innovation - La Cité collégiale
Organization id
28248
Institution établissement
Collège La Cité
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
40000
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
nan
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
Field of research list codes
RDF1020104
Field of research list names en
Machine learning
Field of research list names fr
Apprentissage machine
Socioeconomic objective list codes
RDS10703
Socioeconomic objective list names en
Public health (except specific population health)
Socioeconomic objective list names fr
Santé publique (sauf la santé de populations précises)
Application title
Development of the microbial database of Bioeureka application, an AI-powered microscope image recognizer
Keywords
Microbial Identification; Microbiology; Artificial intelligence (AI); Bacteriology; Virology; Mycology; Public Health; Contaminant Detection; Quality Control
Application summary
Bioeureka is a company specialize in AI-powered image recognition. Their software can analyze, catalogs, and interprets images of samples from microscopes picture. The AI-assisted visual recognition tool uses the device's camera to analyze the sample and compared the result to a large database of all pathogens (bacteria, fungi, and other microorganisms, etc.). Once the pathogen is identified, the app displays the strains, as well as the confidence level, allowing the researcher to better organize the rest of the protocol to achieve double validation. The main objective of the company is to develop an efficient, inexpensive, and fast method of identifying micro-organisms with the use of artificial intelligence. The project objectives include the enrichment of the microbial database, the study of physicochemical and metabolic activities of microorganisms and the validation of strain genetic identity with sequencing.
