BIO-632 / 1 crédit

Enseignant(s): Covato Carmelo, Waszak Sebastian Martin

Langue: Anglais

Remark: Open to max. 4 students. 3-day Block course, every year in January. To register, contact EDMS Administration.


Frequency

Every year

Summary

Introduction to imaging-based single-cell genomics and computational methods for single-cell image analysis.

Content

Theoretical:
- Introduction to imaging-based single-cell genomics
- Introduction to computer vision for microscopy
- Introduction to AI for single-cell image analysis

 

Practical:
- Sample & slide preparation for multiplex imaging
- Data acquisition (multiplex staining & imaging)
- Data preprocessing & quality control
- Data analysis (cell segmentation, quantification, visualization)

Note

Please note that you are not allowed to inscribe in your own group!

Keywords

Imaging-based single-cell genomics; computer vision for microscopy; AI in single-cell genomics

Learning Prerequisites

Required courses

Introduction to microscopy; laboratory work; genomics

Learning Outcomes

By the end of the course, the student must be able to:

  • prepare samples for multiplex single-cell genomics
  • process and quality-control hyperplex imaging data
  • perform single-cell analysis to quantify protein/gene expression
  • identify cell states
  • visualize results

Dans les plans d'études

  • Forme de l'examen: Oral (session libre)
  • Matière examinée: Practical - Waszak Lab
  • Cours: 4 Heure(s)
  • TP: 20 Heure(s)
  • Type: optionnel

Semaine de référence

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