Latest News Archive

Please select Category, Year, and then Month to display items
Previous Archive
17 April 2019 | Story Leonie Bolleurs
Science ambassadors
Friends Tekano Mbonani and Chaka Mofokeng are pursuing graduate degrees in respectively Physics at the University of the Free State (UFS) and Astronomy at the University of the Western Cape. The two got together and decided to reach out to the high school, Leseding Technical Secondary School, where they came from.

It was a full house as more than 120 learners packed the hall at the Leseding Technical Secondary School in the Free State, where two young Astronomy researchers had come home to tell their younger peers about their studies and career prospects across South Africa.

Chaka Mofokeng and Tekano Mbonani are both former learners at the high school. Currently pursuing graduate degrees – for Mbonani in Physics at the University of the Free State (UFS), and for Mofokeng in Astronomy at the University of the Western Cape – the two friends got together and decided to reach out to the high school where they came from.

The event took place in January before schoolwork, tests, and exam preparations are occupying learners’ minds, inviting them to think about the big picture – the future, and how to be part of it. This is timely, because in July last year, the MeerKAT radio telescope was inaugurated in the Karoo. The MeerKAT is the first step to the international SKA telescope project, but it is already one of the best radio telescopes in the world and has placed South Africa firmly on the world map of radio astronomy and engineering.

Building a bridge
“This project enables us to build a bridge between secondary and tertiary institutions. Currently focused on senior secondary students, we aim to promote science through outreach events and activities. Using science and technology-based activities and events, such as stargazing at an observatory or exploring the universe in a planetarium, we want to attract these future secondary graduates. We also provide mentorship, hoping to help them improve their academic performance in matric,” said Mbonani.

For a whole morning, they spoke about their journeys, about science, about the skills that scientists acquire during their studies and all the opportunities such studies open up in an era where the 4th Industrial Revolution is predicted to reduce the number of jobs in many traditional professions. They addressed their peers in both English and Sesotho.

Astronomy in South Africa contributes to critical-skills development. Investing in the MeerKAT, for example, meant that over a thousand bursaries were made available through the SKA South Africa Human Capacity Development programme. Young scientists like Mofokeng and Mbonani have the opportunity to be part of MeerKAT science projects through their studies, using machine learning and other skills that are high in demand in today’s world. This was one of the messages they brought home.

Gaining new skills

“As an Astronomy research student, I have gained skills such as data analysis, mathematical modelling, communication and writing, programming, and teamwork, among others. These are requirements for most companies and institutions. With the unfolding of the 4th Industrial Revolution, such skills sets make young and aspiring scientists the perfect candidates for making the most of future opportunities,” reflected Mofokeng.

Most of the learners said they have never attended a science-outreach event. They were inspired by the young scientists’ stories and nearly half of them said they could see themselves pursuing a career in science. The learners also expressed a strong interest in more events of this kind, as well as mentorship during Grades 11 and 12 from peers at university. They asked about the salaries earned by astronomers, how long the studies take, and where astronomers are working in South Africa.

This initiative, started by two bright young scientists, hopefully marks the beginning of many more events of this kind. Mofokeng and Mbonani are already planning what to do on their next trip home.

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.

We use cookies to make interactions with our websites and services easy and meaningful. To better understand how they are used, read more about the UFS cookie policy. By continuing to use this site you are giving us your consent to do this.

Accept