Fundamentally practical, this course aims introducing the participants in experimental design, image acquisition, image and data analysis for high throughput (HT) experiments. These are essential skills when generating massive amount of imaged-based data in the biosciences field. Lectures will be given by specialists in the field and participants will learn how to use state of the art technology for HT experimentation and open-source software for image and data analysis. Attendants will get acquainted with use of automated liquid handling equipment and high content (HC) imagers such as IN Cell Analyzer (HCS microscope) and ImageStream (imaging flow cytometer). Interaction with HTS/HCS specialists will be fostered due to the restricted amount of participants.
Registration Deadline: 4th June 2018
MORE INFO & REGISTRATIONS: https://www.ibmc.up.pt/events/upcoming-events/high-throughput-screening-and-image-analysis-biosciences
The III Quantitative Fluorescence Microscopy Course is an one-week intensive microscopy course focused on the principles and high-end applications of quantitative fluorescence microscopy.
Participants will gain a theoretical understanding and hands-on experience on state-of-the-art equipment such as widefield microscopy, laser scanning and spinning disk confocal microscopy, multi-photon microscopy, deconvolution methods, and digital image processing and analysis.
For more informations please visit our website: www.qfm.cnc.uc.pt
With the advent of the digital era, nowadays images are multidimensional numerical data that can be processed and analyzed quantitatively to extract more information. ImageJ/Fiji open source software(imagej.net/) is a powerful tool available to process and analyze digital images. Moreover, it also allows the automation of image analysis with custom macros and plugins. With this course, we intend to give a general introduction to ImageJ/Fiji, show how to use it to extract quantitative data and how to write simple macros. This course is focused on the analysis of microscopy images but is targeted to all people engaged in research, that wants to start using ImageJ/Fiji for image analysis in general.
For more informations please visit www.i3s.up.pt/content/training?v=44
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