Cellprofiler analyst registration#
Late registration participants will be accepted upon availability. Upon acceptance to the course, early registration participants have until the 15th June to complete the payment, otherwise waiting list participants will be invited to the course. Registration is conditional, course acceptance depends on motivation and date of registration, and will be informed by 3rd June. Provides an example of selecting phenotypes using gating. Therefore, participants are free to choose the image analysis tools more convenient to their own work.Īndré Maia and María Gómez | participant may choose the following modules: ModuleĮach module requires a minimum number of 10 participants and the maximum number of participants is 25. Forum Custom support Educational modules About CellProfiler Analyst. Experimental data will be used as datasets for image segmentation and quantification.
Cellprofiler analyst software#
Fundamentally practical, in this modular course, participants will get acquainted with several open-source image analysis software (ImageJ/Fiji, ilastik, CellProfiler, CellProfiler Analyst, Cytoscape and IDEAS®) designed to deal with large amounts of images. This course will introduce users to the free open-source image analysis program CellProfiler and its companion data exploration program CellProfiler Analyst. Images contain diverse and valuable quantifiable data, however, many researchers lack the knowledge to extract those data in a practical, fast and repetitive way. High Content Screening generates massive amounts of image-based data in the biosciences field. I3S - Instituto de Investigação e Inovação em Saúde da Universidade do Porto In light of the current COVID-19 crisis, this course has been cancelled. Workshop on BioImage Analysis for High Content Screening
Registration fee includes coffee breaks, lunches, and course materials.Īttendance to the course dinner is optional (additional 40 €)Īdvanced Training Unit | Rua Alfredo Allen 208 | 4200-135 Porto, Portugal
Our introduction to automated image analysis principles and practicalities is published as an educational article at PLoS. Limited number of participants per module: 25 Technical descriptions of CellProfiler and CellProfiler Analyst software can be found in our papers while more written tutorials can be found on the CellProfiler GitHub page. The course modules are independent of each other, therefore you are free to choose the module(s) of your preference. Knowledge about the specific image analysis software to be used in the course is not required, however, some prior knowledge about image analysis is beneficial. The participant may choose the following modules:
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