C8764 - ADVANCED CELL IMAGING AND SPECTROSCOPY ANALYSIS

Learning outcomes

This course explores advanced methodologies for the structural and functional analysis of cells and human tissue using both imaging and spectroscopic techniques. Emphasis is placed on the integration of morphological and molecular data acquired through high-resolution microscopy and cutting-edge spectroscopy techniques, such as synchrotron-based X-ray methods. The course includes a practical computing activity focused on the post-processing and analysis of multidimensional datasets to extract meaningful biological insights.

Course contents

The course is organized into two integrated parts: 4 ECTS of lectures and 2 ECTS of computational laboratory activities.

The lectures are structured into four main blocks:

1. From the biological question to measurable data
   Experimental design, sample preparation, selection of controls, definition of quantitative endpoints, and main sources of variability or bias.
2. Physical principles of data generation
   Interaction between electromagnetic radiation and matter, from the visible range to X-rays, with attention to contrast, resolution, signal, noise, dose and safety.
3. Imaging, spectroscopy and advanced platforms
   Overview of the main methodological macro-areas, distinguishing conventional laboratory techniques from cutting-edge, limited-access approaches, such as synchrotron-based methods and cryo-EM.
4. From raw data to biological information
   Principles of post-processing, quantitative analysis of multidimensional images and spectra, metadata management, uncertainty and reproducibility of workflows.

The laboratory component will allow students to apply, in a practical way, the concepts introduced during the lectures through computational exercises focused on the processing, analysis and interpretation of multidimensional datasets generated by imaging and spectroscopy techniques.

Readings/Bibliography

During the lectures, selected reviews and useful online resources will be provided and made available on "Virtuale"

Teaching methods

Lectures and practical exercises.

Assessment methods

Written test aimed at assessing the student’s ability to apply the methods learned.

Students with Specific Learning Disorders (SLD) or temporary or permanent disabilities are encouraged to contact the University's relevant support office as early as possible (https://site.unibo.it/studenti-con-disabilita-e-dsa/it ). The office will propose any appropriate accommodations for eligible students. Such accommodations must be submitted to the course instructor for approval at least 15 days in advance. The instructor will assess their suitability, taking into account the learning objectives of the course.

 

Students recognized as “working students” Please consult the dedicated website ( https://www.unibo.it/en/study/guide-to-choosing-your-programme/balancing-study-and-work ) to apply for this status and to learn about the available measures.

 

With regard to assessment, the use of artificial intelligence (AI) is prohibited. Any use constitutes a violation of academic integrity.

Teaching tools

PC, Projector. PowerPoint; the slides used during lessons will be available on the VIRTUALE platform.

Office hours

See the website of Emil Malucelli