ONLINE COURSE: Batch analysis and macro development in ImageJ/Fiji
going beyond the basics | 2^nd edition

9, 10, 11, 14 and 15 December 2020 | 9:00-13:00 (Lisbon/London time) | Online

New course format

This course is designed for ImageJ/Fiji users who want to go beyond the basics and progress to more intermediate/advanced analysis with this software. The course will focus on how to automate routine tasks (for conditions where many images need to be processed), as well as how to deal with more complex image analysis situations, to maximize information extraction.
Although ImageJ can be used with its graphical user interface, the implementation of a workflow to multiple images requires the development of macros and/or scripts for batch processing. At the course, this process is tackled by building up from the development of very simple macros to more complex workflows, where images are processed and information acquired in an automated or semi-automated way.
Previous knowledge on the basics of bioimage analysis is recommended, but no prior experience in ImageJ macro development is required or assumed, nor any prior programming skills.

Target Audience:
Researchers who want to go beyond the basics and progress to more intermediate/advanced analysis with ImageJ/Fiji

Requirements:
- Basic knowledge in image analysis and some experience with ImageJ/Fiji for simple tasks.

Organizers:
Eduardo Conde-Sousa | Paulo de Castro Aguiar

Poster download [PDF]

Introduction to batch analysis: from macro recorder to simple scripts.
ImageJ macro language syntax.
From GUI (graphical user interface) workflows to scripts: exploring ImageJ’s built-in functions and developing user-defined functions.
Automatic data loading: access-list of files in a given directory and filter it by text patterns in file name or by extension.
Batch processing from scripts.
Combine multi-dimensional information: programmatically identifying image pairs (e.g. multichannel, time-lapse) and combine information.
From Image data to tables: extract information to tables and personalize output variables on output tables (data logging).
Export sample images and customized tables to a directory.
Introduction to batch analysis: from macro recorder to simple scripts.
ImageJ macro language syntax.
From GUI (graphical user interface) workflows to scripts: exploring ImageJ’s built-in functions and developing user-defined functions.
Automatic data loading: access-list of files in a given directory and filter it by text patterns in file name or by extension.
Batch processing from scripts.
Combine multi-dimensional information: programmatically identifying image pairs (e.g. multichannel, time-lapse) and combine information.
From Image data to tables: extract information to tables and personalize output variables on output tables (data logging).
Export sample images and customized tables to a directory.

Program

To be announced

Course approximate duration: 18 hours

Registration

Registration fee includes course material.

	Early Bird	Late registration
Registration period	Until 16^th October	from 17^th October until 13th November
Payment deadline	23^rd October	20^th November
i3S members with previous participation in Image Analysis courses*	90€	135€
i3S members	100€	150€
External participants with previous participation in Image Analysis courses*	117€	175,5€
External participants	130€	195€

* Applicable to candidates that have enrolled the following i3S courses:
- Introduction to digital image analysis with ImageJ/ Fiji / Introduction to digital bioimage analysis;
- MATLAB: Data analysis & image processing
- Course on Optical Microscopy Imaging for Biosciences
- High Throughput Screening and Image Analysis for BioSciences

This course is now full. If you wish to stay in the waiting list, please send an e-mail to events@i3s.up.pt. You will be contacted if there is any cancellation.

Registration form

Contents

Program

Registration

Sponsors