Cellular and Molecular Biology

Image Analysis Laboratory

Image Analysis Laboratory

Academic year 2018/2019

Sommario del corso

• Course objectives
• Results of learning outcomes
• Course delivery
• Learning assessment methods
• Support activities
• Program
• Suggested textbooks and readings
• Teaching tools

Course objectives

This teaching contributes to develop a correct approach to the image analysis and quantification.

It also enables students to deepen their knowledge and abilities in the use of the computer, in the manipulation of the images and in the extraction of quantitative data

Results of learning outcomes

- Ability to use image analysis software, image manipulation programs, and image quantification.
- Understanding the characteristics of the digital image, the principles of morphometry and statistical interpretation

Course delivery

A series of theoretical lessons, followed by practical work in the laboratory. Home work to be discussed in the following lesson.

Learning assessment methods

The teaching grade is determined on the basis of the results of a series of home works and a final PowerPoint presentation of a plug-in of the Image J program that was not discussed during the laboratory.

Support activities

Weekly homework sets will be assigned, and their solution will be posted and (if time allows) discussed in class.

Program

Image theory.

The digital image: limits, future developments, manipulation.

Shooting techniques. Limits and possibilities of correction.

The programs for image manipulation.

The open access program Image J Standardization of imaging.

Examples of the use of Image J: morphometric analysis, fractional area, densitometry, three-dimensional reconstructions.

There is no specific textbook for this course. For basic and general reference, see The Image Processing Handbook, 6th edition by J.C. Russ

https://www.amazon.com/Image-Processing-Handbook-Sixth/dp/1439840458

Class schedule

• Teaching materials
• Exams and finals
• Go to Moodle
• Visit the forums