Course Identification
Analysis and sorting by flow and image cytometry
Lecturers and Teaching Assistants
Dr. Ziv Porat, Dr. Tomer Meir Salame, Dr. Efrat Hagai, Dr. Ekaterina Kopitman
Course Schedule and Location
10-14/11/2019, lectures 9:00-10:30, lab groups: morning 10:45-13:00 or afternoon 13:45-16:00.. Location- TBA,
10/11/2019
30
Field of Study, Course Type and Credit Points
Life Sciences: Laboratory; Elective; Regular; 0.50 points
Life Sciences (Molecular and Cellular Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Laboratory; Elective; Regular; 0.50 points
Life Sciences (Computational and Systems Biology Track): Laboratory; Elective; Regular; 0.50 points
Comments
* On 10-12/11 the lectures will be held at Wolfson Auditorium
9:00-10:30
* on 13-14/11 the lectures will be held at San Martin Seminar Room
9:00-10:30
Registration by
10/10/2019
Attendance and participation
Estimated Weekly Independent Workload (in hours)
Syllabus
- Principles of operation of Flow and Image Cytometers: the flow systems, sample excitation and illumination, sample detectors.
- Applications of Flow and Image Cytometry: measurement of multiple color staining, DNA measurements, Nuclear - cytoplasm translocations.
- Cell Sorting and analysis of yield and purity.
- Preparation of samples.
- Data analysis.
Learning Outcomes
Upon successful completion of this course students should be able to:
- Discuss the principles and some applications of Flow and Image Cytometry.
- Run samples on Flow and Image Cytometers.
- Analyze samples with multi-color staining.
- Sort multi-color cell populations to test tubes.
- Perform cell cycle analysis.
Reading List
- Shapiro H. M - Practical Flow Cytometry.
- Givan A. L - Flow Cytometry first principles.
- Ormerod M. G. - Flow Cytometry