The educational objectives of the course aim to provide students with a solid foundation of practical skills in using ImageJ for processing and analyzing images acquired by various microscopy techniques through the use of plug-ins and can be listed as follows:
- Learn how to properly install ImageJ on your computer and configure initial settings.
- Gain a thorough understanding of the internal structure of ImageJ and its main functionalities.
- Become familiar with ImageJ's user interface and identify the most commonly used functions, including those located in the menu bar.
- Learn how ImageJ handles color and grayscale images, as well as the handling of complex images such as Z Stack, multichannel images, and over time.
- Learn how to use linear and nonlinear spatial filters, mathematical operations, point operations, and geometric transformations to process images in ImageJ.
- Gain skills to analyze images in ImageJ, including spatial calibration, manual measurements, thresholding, counting and automatic measurements, intensity and color analysis, and visualization and export of results.
- Gain knowledge of the plugin concept, including its definition, installation, configuration and use of specific plugins to extend ImageJ functionality.