September 28-30, 2016 | i3S, Porto
Essentially practical, this course aims at introducing the students in the use of the imaging flow cytometer and image data analysis. This hands-on course is divided in two main parts covering from the use of the imaging flow cytometer (Imagestream) and basic image analysis (Part A) to advanced image analysis focusing on machine learning for Imagestream data using the Cell Profiler environment and batch analysis with ImageJ amongst others (Part B).
Imaging flow cytometry is a state of the art technology that combines the statistical strength, sensitivity, and high speed of a conventional flow cytometer by rapidly acquiring large number of cells with the quantitative image analysis of the detailed cellular imagery with morphologic (and functional) information captured by a microscope. Similar to flow cytometry, fluorescence intensity and cell complexity can be analyzed, but furthermore and amongst others, morphological characterization, protein translocation and colocalization, can also be evaluated. The high versatility of the analysis software allows for the quantification of a diverse set of parameters granting the user complete autonomy in regard to the features to be included in the data analysis. The second part of this workshop will cover machine learning for Imagestream data using the Cell Profiler environment, and batch analysis and script writing as well as several plugins for the solution of common issues using ImageJ.
LECTURES:
María Gómez Lázaro, i3S - INEB
Paulo de Castro Aguiar, i3S - INEB
Marina Leite, i3S - Ipatimup
Huw Summers, College of Engineering, Swansea University
Paul Rees, College of Engineering, Swansea University
DATES: September 28-30, 2016 (Wednesday to Friday, 3 full days) | 09:00 to 18:00
PLACE: i3S - Instituto de Investigação e Inovação em Saúde (Rua Alfredo Allen, 208 | 4200-393 Porto, Portugal)
Registration Fees:
Before Sept. 5th | After Sept 5TH | |
---|---|---|
Part A - Use of the imaging flow cytometer (ImageStream) and basic image analysis |
60€ | 100€ |
Part B - Advenced image analysis on machine learning for ImageStream data using the Cell Profilerenvironment and batch analysis with ImageJ amongst others |
60€ | 100€ |
Part A+B | 100€ | 175€ |
The fee includes coffee breaks and workshop materials.
Registrations accepted up to a maximum of 6 participants in part A and up to 20 participants in part B.
Registration form: https://www.ibmc.up.pt/eventos/registrationnew.php?eid=108
UPDATE: Registrations for the full course are closed. If you would like to remain on the waiting list, please send an e-mail to rita.matos@ibmc.up.pt
ECTS
This course is in process of accreditation (1 ECTS). In case you want to get the ECTS credit, please contact rita.matos@ibmc.up.pt to more details.
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