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This module is useful to introduce:
- Image processing and its relation to signal processing.
- Image transformations for filtering, coding and etc.
- Histogram processing algorithms to enhance image qualities and visibility.
- Theories analysing and understanding images using feature extraction, segmentation, and texture modelling.
- Linear and nonlinear methods for shape registration, noise reduction and restoration.
- Image classification and object recognition.
- Edge detection

This module is useful to introduce:
- Image processing and its relation to signal processing.
- Image transformations for filtering, coding and etc.
- Histogram processing algorithms to enhance image qualities and visibility.
- Theories analysing and understanding images using feature extraction, segmentation, and texture modelling.
- Linear and nonlinear methods for shape registration, noise reduction and restoration.
- Image classification and object recognition.
- Edge detection

This module is useful to introduce:
- Image processing and its relation to signal processing.
- Image transformations for filtering, coding and etc.
- Histogram processing algorithms to enhance image qualities and visibility.
- Theories analysing and understanding images using feature extraction, segmentation, and texture modelling.
- Linear and nonlinear methods for shape registration, noise reduction and restoration.
- Image classification and object recognition.
- Edge detection

Modern medicine and the latest developments in biomedical science depend heavily on imaging technology and on computational image analysis. By combining computation and optoelectronics, we can not only deliver spectacular images but also vital data, that are essential for modern healthcare and bioscience. Biomedical imaging can be performed across a wide range of length scales. Sub-nanometre resolution is needed to understand biomolecule structure and function, all the way up to whole body imaging captures data about human health and behaviour.

Imaging instruments range from simple digital cameras familiar as consumer products, to complex medical scanners and a wide range of microscopes. Image analysis ranges from simple manipulations of a 2D intensity matrix to the latest classification and interpretation algorithms, such as use of convoluted neural networks to aid diagnosis from medical scans. Tomography and 3D reconstruction methods are vital, both for medical imaging of the human body, and at the nanoscale for tracking protein structure and engineering new medicines.

The module builds a foundation of knowledge allowing students to apply the fundamental principles of digital imaging and computational image analysis– such as how different radiation can be used to capture images – that are relevant to biomedical imaging. The module establishes an understanding of how imaging instruments are engineered, including familiarity with essential components such as light sources, sensors and optics. In parallel the principles of digital image processing for biomedicine are studied, from preprocessing to the latest computational image analysis tools to make measurements or extract medically important features.

Students will study selected examples of well-established digital imaging platforms alongside cutting-edge biomedical imaging methods, that are all important for digital health, biomedical engineering and medicine. Students will learn how imaging systems and analysis workflows are designed and develop a practical awareness of the major engineering parameters necessary for modern biomedical imaging and image analysis.

The module is designed to be of interest to ECS students – including biomedical engineering, computer science, and electronic engineering students – who are interested in the specialised applications of imaging technology and computational image analysis across the life sciences sector, from medicine and digital health to fundamental bioscience research.

What developments led to the headscarf and the so-called ‘burka ban’ in France? Why has ‘multiculturalism’ been a taboo subject? To what extent have anti-racism associations been a success in combating racism? This module offers you the opportunity to gain a practical understanding of why and how immigration has become an issue of national debate in France.

What developments led to the headscarf and the so-called ‘burka ban’ in France? Why has ‘multiculturalism’ been a taboo subject? To what extent have anti-racism associations been a success in combating racism? This module offers you the opportunity to gain a practical understanding of why and how immigration has become an issue of national debate in France.

This module consists of 9 x 2-hour sessions covering 5 topics.
Click on the timetable link for timetables and details of topics covered. Prior to each topic, the relevant journal and supporting documentation will be uploaded onto the course materials section of the website.
Each topic will be taught by an academic with a specialist interest in the subject area. The first session will consist of a seminar. The content of the seminar will then be discussed by the group, including the lecturer, in order to clarify any points and to frame any questions arising from the lecture that the students find interesting.

A journal paper that extends or applies the knowledge in the seminar, will then be shared with the students. Students should read the methods section immediately, in order to ensure that they are familiar with the basic principles of the techniques and/or any confusing abbreviations used. Methodological queries will be discussed at the session.

The paper and background questions arising from the paper or the seminar will form the basis of the work in the following session (except for topic 5).

For topic 1, students will submit a written critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a formative assessment and the critical analysis of the paper and feedback on the written reviews will be discussed during the session 2 of topic 1.

For topics 2,3 and 4, one or several students will make an oral presentation of the paper, and all the students will be expected to join in a discussion of the paper during and after the presentation. All students will be expected to research other articles to bring to the general discussion of the selected paper. The student(s) who give the presentation will not be assessed on their contribution to the discussion. All students will be given marks for either their oral presentation or discussion contribution for these 3 topics.

For topic 5, all the students will write a critical review of the paper stating the hypothesis and summarising the background, results and conclusion with comments on strengths, weaknesses and any new questions arising as a consequence of the paper. This will be a summative assessment. There will be no session 2/oral presentation for this topic.

Although there is no specific pre-requisite for this module, this is a level 7 module, and an undergraduate level knowledge of immunology is expected.

This module covers the major topics in cellular and molecular immunology, including antigen recognition, antigen processing and presentation to B and T cells, the molecular events leading to the generation of antibody and T cell receptor diversity, antibody effector functions, the role of CD4 and CD8 T cell subsets and NK cells in immune responses, self-tolerance and autoimmunity, and the role of immunity in protection against pathogens and cancer.

In addition, this module aims to increase awareness that immunology, as well as being of intrinsic interest, has a broad impact on biology and medical sciences. We will also include a profile of the impact of research in Southampton on understanding major diseases, including cancer, profiling the ‘Southampton immunology footprint in global research’.

This module covers the major topics in cellular and molecular immunology, including antigen recognition, antigen processing and presentation to B and T cells, the molecular events leading to the generation of antibody and T cell receptor diversity, antibody effector functions, the role of CD4 and CD8 T cell subsets and NK cells in immune responses, self-tolerance and autoimmunity, and the role of immunity in protection against pathogens and cancer.

In addition, this module aims to increase awareness that immunology, as well as being of intrinsic interest, has a broad impact on biology and medical sciences. We will also include a profile of the impact of research in Southampton on understanding major diseases, including cancer, profiling the ‘Southampton immunology footprint in global research’.

This module covers the major topics in cellular and molecular immunology, including antigen recognition, antigen processing and presentation to B and T cells, the molecular events leading to the generation of antibody and T cell receptor diversity, antibody effector functions, the role of CD4 and CD8 T cell subsets and NK cells in immune responses, and the role of immunity in protection against pathogens and cancer. The module will allow core immunological principles to be utilised in developing a research proposal, forming the basis of module assessment.

In addition, this module aims to increase awareness that immunology, as well as being of intrinsic interest, has a broad impact on biology and medical sciences. We will also include a profile of the impact of research in Southampton on understanding major diseases, including cancer, profiling the ‘Southampton immunology footprint in global research’.