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26 July 2021 | Story Nonsindiso Qwabe | Photo Nonsindiso Qwabe
On top of the Drakensberg. The ARU and Witsieshoek Mountain Lodge research team are, from the left: Grant Martin, Dr Ralph Clark, Jan van Niekerk, Prof Aliza le Roux, Prof Peter Taylor, and Dr Sandy Steenhuisen.

All mountains around the world have native and non-native species that are expanding their ranges quite dramatically; however, little research has been conducted towards understanding the long-term redistribution of species and the effects of global change on biodiversity.


The Afromontane Research Unit (ARU) on the University of the Free State Qwaqwa Campus – as part of the Mountain Invasion Research Network – has secured a two-year EU Horizon 2020 project under the Department of Science and Innovation, which will be looking at the mechanisms underlying the success and impact of range-expanding species on biodiversity and ecosystem functioning.

On Monday 19 July 2021, the ARU took a few of its researchers on a scenic helicopter ride to the summit of the Drakensberg for an alpine field-experiment site inspection of the Mont-aux-Sources peak, one of the highest sections of the Drakensberg range. This site has been identified for the project which the research unit will be leading on mountain research.

ARU Director, Dr Ralph Clark, said the project would explore the effects of global change, biological invasions (when species invade new geographic regions), as well as climate and land-use change. He said experiments were needed to explore the various possibilities and to test the extent to which species respond to experimental treatments. The project would therefore be conducting experiments for two years using open-top chambers – causing an increase in temperature of 3 or 4 degrees to what you find naturally – on plant species from lower down to the top of the mountain, to see how they function. “This will give us an idea of whether they will be able to survive in global warming scenarios. If temperatures get warmer, we might start seeing a lot of plants up here that we wouldn’t otherwise find here.”

Dr Clark said little is known about the long-term monitoring of species distribution and the effects of global change. Implementing the project in the Maloti-Drakensberg alpine area will therefore put the area in the global mountain research arena. The elevational gradient in the Maloti-Drakensberg Mountains provides space to explore the key processes underlying the variation in species elevation with climate change. “One of the things we don’t know much about are alpine systems. We are hoping to establish a long-term alpine research site and try to add as many studies as we can. The more science we can bring up here, the more we can know about mountain life. What happens on mountains has a lot of impact on social dynamics.

“This project is looking to see what is driving range expansion. Every mountain has its own context. In the Swiss alpine, fires are not a big factor, but fires are one of the biggest factors on our mountains. Some of our native and non-native species are therefore fire-driven, so as fire increases, you might have them spreading faster.”

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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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