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Image Analysis Laboratory

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Image Analysis Laboratory

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Academic year 2021/2022

Course ID
SVB0054
Teacher
Dott.ssa Marilena Marraudino
Degree course
Cellular and Molecular Biology
Year
1st year 2nd year
Teaching period
Semester 2
Type
Elective
Credits/Recognition
4
Course disciplinary sector (SSD)
BIO/16 - anatomia umana
Delivery
Formal authority
Language
English
Attendance
Lessons optional and laboratories mandatory
Type of examination
Practice test
Prerequisites
Fundaments of biology. Use of a personal computer. Fundaments of scientific photography
Propedeutic for
Quantitative analysis of morphological data. Thesis.
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Sommario del corso

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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.

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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.

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Course delivery

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

 

Due to the COVID 19 pandemic, teaching in the academic year 2020-21 has been reorganized throughout the Degree Course. All lessons will be recorded and available online. However, a number of traditional classes (i.e. in person) will also be provided, within the regulations imposed for public safety by the government due to the health emergency caused by COVID 19.

This course will thus include as many hours of traditional lessons as is possible for each student. Detailed information will be provided by each teacher based on the type of activity, the number of students and public health recommendations.

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Learning assessment methods

The learning assessment is determined on the basis of the results of a series of laboratory and homeworks, a practical examination on the skills acquired during the laboratory and a final PowerPoint presentation of a plug-in of the Image J program that was not discussed during the laboratory.

The laboratory has an obligation of attendance, equal to 75%. Students can take the final exam based on the attendance obtained. Attendance will be assessed on the basis of the exercises carried out to achieve 75% of the laboratory.
The final evaluation (in thirtieths)  includes the exercises carried out during the laboratory as homeworks, the practical exam and the presentation of the plug-in.

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WARNING  !!!

following the COVID-19 emergency and throughout the persistent situation of health restrictions, the examination will be conducted orally via the webex telematic platform. 

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Support activities

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

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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.

Suggested readings and bibliography

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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



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Class schedule

Lessons: dal 02/03/2020 to 12/06/2020

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Last update: 01/03/2022 10:15
Location: https://cmb.campusnet.unito.it/robots.html
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