Module Details

Cytomics

MS2134

Course
Cytomics
Code
MS2134
Academic Year
2025/2026
Curriculum Year
2024/2025
Degree Programme
MEDICAL BIOTECHNOLOGY
Curriculum
A006 - SYSTEM BIOMEDICINE
Course coordinator
Lecturers
Credits
2
Lecture Hours
12
Scientific Disciplinary Sector (SSD)
MED/04 - General Pathology
Course Type
Single-subject learning activity
Course Delivery
OBB - Obbligatoria
Year
2
Teaching period
Secondo Semestre
Campus
NOVARA
Teaching language
English
Course Contents
The course, after a review of basic immunology and the explanation of the basic concepts of flow cytometry, addresses the topics of multiparametric cytometry, scRNA-seq and mass image analysis. Focusing the attention of the course on single cell analysis techniques through the use of different algorithms.
Reference Texts
None
Learning Outcomes
The course aims to apply single cell analysis techniques using different algorithms. Applying these techniques to multiparametric cytometry, image mass cytometry and scRNA-seq.
Prerequisites
Knowledge on basic Immunological processes
Teaching Methods
Frontal lessons
Additional Information
Students with physical disabilities, Learning Disabilities or Special Education Needs can request
specific services and tools via the Staff Sviluppo e Coordinamento Carriere e Servizi alle Studentesse
e agli Studenti, consulting the University webpage: https://www.uniupo.it/en/services/services-
students-physical-or-learning-disabilities
Students with disabilities, learning disabilities or special education needs, once they have contacted
the University Staff, can refer to the tutor in charge of the course to define the examination
modalities, concerning academic aspects.
Assessment Methods
Written exam with questions with true/false answers and subsequent explanation
Detailed Syllabus
Flow cytometry: basic concepts and its applications. scRNA-seq: basic concepts and applications. Image mass cytometry: basic concepts and its applications. Single cell analysis techniques using different algorithms (dimensionality reduction, clustering algorithm, classification algorithm). SEURAT pipeline
Expected Learning Outcomes
Students will have to demonstrate knowledge of the main single cell techniques and complex data analysis techniques (multiparametric cytometry, scRNA-seq and image mass cytometry)
Last update:09-09-2026 00:14:31