Machine learning based analytics for bacteria cell cycle characterization using super resolution microscopy

Project description

Bacterial cell cycle characterisation using super-resolution microscopy

Fields of science

• natural sciences › biological sciences › microbiology › bacteriology
• natural sciences › physical sciences › optics › microscopy › super resolution microscopy
• natural sciences › biological sciences › biochemistry › biomolecules › proteins
• natural sciences › computer and information sciences › artificial intelligence › machine learning
• medical and health sciences › basic medicine › pharmacology and pharmacy › drug resistance › antibiotic resistance

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF-EF-ST - Standard EF

Coordinator

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE

Net EU contribution

€ 191 149,44

Address

Batiment Ce 3316 Station 1
1015 Lausanne
Switzerland

Region

Schweiz/Suisse/Svizzera › Région lémanique › Vaud

Activity type

Higher or Secondary Education Establishments

Links

Non-EU contribution

€ 0,00