BioImage Analysis for High Content Screening 

25-28 May 2021 | ONLINE

High Content Screening generates a massive amount of image-based data in the biosciences field. Images contain diverse and valuable quantifiable data, however, many researchers lack the knowledge to extract those data in a practical, fast and repetitive way. 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. Experimental data will be used as datasets for image segmentation and quantification.
This course is organized in modules. Therefore, participants are free to choose the image analysis tools more convenient to their own work.

Introduction to digital bioimage analysis | 3^rd Edition

12-15 October 2021 | i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto

Due to the SARS-CoV-2/COVID-19 pandemic situation, it might happen that an on-site course cannot take place. In that case, an online version of the course will be organized from 11th to 15th (afternoons) October with the same program. 

With the advent of the digital era, nowadays images are multidimensional numerical data that can be processed and analyzed quantitatively to extract more information. With this course, we intend to give a general introduction to ImageJ/Fiji (imagej.net/), show how to use it to extract quantitative data, and how to write simple macros.

CONTENTS

-    Principles, techniques and ethics of digital bioimage processing.
-    Basic commands of ImageJ/Fiji software.
-    Working with multidimensional (2D, 3D, time-lapse, position) bioimages.
-    Enhancement and processing of images.
-    Extract quantitative numerical data.
-    Design of simple workflows for automation of image analysis with ImageJ macros.
-    Advanced ImageJ plugins (stitching, registration, colocalization)

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