ALM micrsocopy training 

 

Course on Optical Microscopy Imaging for Bioscience - 11th Edition @ i3S

01-05 April 2019 | i3S, Porto 

 

The 11th edition of the Optical Microscopy Imaging for Bioscience offers to the participants a comprehensive light microscopy course that explores the fundamentals of light microscopy and introduces the state-of-art of advanced fluorescence microscopy techniques. The course will flow from sample preparation to quantitative image analysis and will include theoretical and hands-on practical sessions. Specialists in microscopy will teach the lectures and the major microscopy companies support the practical sessions.

 

Target Audience:

The course is designed to master and PhD students, early career researchers plus all other researchers interested in acquire skills in optical microscopy.

 

 

 

Registration:

Early Bird | Until March 3rd 2019

i3S members - 200€

External Participants - 270€

Payment deadline: March 10th 2019

Late registration | March 4th until March 17rd 2019

i3S members - 250€

External Participants - 325€

Payment deadline: March 24th 2019

 

 

For more information and registration: https://www.i3s.up.pt/content/training?v=72

 

 

highthough 

 

 

Course on High Throughput Screening and Image Analysis for Biosciences @ i3S

27-31 May 2019 | i3S, Porto 

 

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 a 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.

 

 

 

FEES:

Registration until 15th April 2019 | Payment deadline: 22nd April

i3S members – 180€ (lunch not included)

General registration - 250€ (lunch included)

Between 16th April and 20th May 2019 | Payment deadline: 27th May

i3S members or General registration – 350€ (lunch included)

Limited number of participants: 20

 

Contact: This email address is being protected from spambots. You need JavaScript enabled to view it.

For more information and registration link: https://www.i3s.up.pt/content/training?v=71

 

 MATLAB Course 2019

Introduction to data analysis and image processing with MATLAB - 5th Ed. @ i3S

25-27 March 2019 | i3S, Porto

 

Quantification is an essential component in every scientific domain, and the ability to extract more information from the data is a fundamental asset. This is an introductory "hands-on" course where the concepts and techniques will be explored directly in the MATLAB environment. MATLAB is a well-established tool in scientific and technical computing, with key advantages such as being extremely versatile/powerful and easy to learn. This course is especially suited for people engaged in research wanting to start using MATLAB in the context of scientific data analysis and image processing (quantification). Participants are invited to bring their own data and an analysis problem of interest to be addressed in the course (as a project), with the help of the tutors.

 

 

Lecturer: Paulo de Castro Aguiar, i3S / INEB

TA: Ana Filipa Gerós, i3S / INEB

 

 

Prerequisites: None – previous experience with MATLAB is not required

Participants are asked to bring their laptops (a MATLAB trial version is available)

 

 

 

Early Bird | Until 3rd February 2019
i3S members - 130 € | Payment deadline: 13th February 2019
External participants - 150 € | Payment deadline: 13th February 2019

Late registration | 4th February until 3rd March 2019
i3S members or External participants - 200 € | Payment deadline: 13th March 2019
(registrations accepted up to a maximum of 20 participants)

 

 

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