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22 October 2025 | Story Leonie Bolleurs | Photo Supplied
Giraffe Research Centre
The giraffe research programme and infrastructure facility at Amanzi Private Game Reserve marks the next phase in a research journey that has already placed the UFS at the forefront of giraffe science.

The University of the Free State (UFS) is taking wildlife research to new heights. On Wednesday 29 October 2025, the university will officially launch the giraffe research programme and infrastructure facility at the Amanzi Private Game Reserve near Brandfort – a first-of-its-kind in the world, dedicated to advancing local and international scientific collaboration in the study and conservation of giraffes.

The launch marks the next phase in a research journey that has already placed the UFS at the forefront of giraffe science. Over the past decade, a team of researchers, led by Prof Francois Deacon from the Department of Animal Science, has made significant contributions to understanding giraffe behaviour, physiology, and ecology. Building on pioneering work in reproductive technologies, endocrinology, anatomy, and disease, the new infrastructure combines on-site research laboratories with spacious, stress-free habitats. In this hands-on environment, veterinarians, scientists, and students can work closely with giraffes while promoting their welfare and supporting both local and international research projects.

Over the past seven years, his team has conducted 254 successful sedations and captures, carefully building the expertise needed for the next delicate step: the first embryo transfer in wild giraffes.

“This dedicated research facility will provide a safe and controlled environment where the world’s first giraffe embryo can develop and grow, and where we can collaborate to produce the science needed to turn the extinction of the giraffe around,” he explains. “The general public may not see the results immediately, but 20 years from now, what we are doing today will be vital in creating a biobank of viable giraffe embryos and calves that can be used in surrogate animals, supporting sustainable conservation practices for future generations.”

This programme will allow researchers to expand their understanding of the world’s tallest land mammal in ways that were not possible before. “From conducting sedation and sample collection to pioneering reproductive techniques such as semen preservation and embryo transfer, the facility provides an environment where we can study, among others, giraffe genetics, reproductive biology, and physiology; knowledge that is important for their conservation and survival,” says Prof Deacon. 

About 12 departments at the UFS are already involved in the research project in one way or another. This includes from the Department of Animal Science to the Departments of Zoology and Entomology, as well as Chemistry and even Information and Communication and Technology Services, which contributes to 3D-modelling, software, and monitoring of the animals. 

The project also offers opportunities for collaboration with conservation organisations and universities worldwide, positioning the UFS as a leading hub for giraffe and large-mammal research in Africa. Current partners who share Prof Deacon’s vision for giraffe conservation on the African continent include Save the Giraffes (a US-based NGO), Absolute Genetics, Ramsem, and the Kroonstad Animal Hospital.

Despite their towering presence on the African continent, giraffes are quietly disappearing. The International Union for Conservation of Nature (IUCN) lists them as Vulnerable, with populations declining by more than 40% over the past three decades. Today, fewer than 100 000 remain in the wild – a sobering reminder that their future is far from secure and that research excellence like this is key to ensure their survival.

“We have all the technology and all the expertise to make a change. Now is the time to bring about this change to secure the future of giraffes on this continent,” Prof Deacon concludes, emphasising the UFS’ commitment to sustainability, care, and conservation.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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