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10 November 2023 | Story Ouma Ngoepe | Photo SUPPLIED
Liezl Geldenhuys (ZZ2), Mellisa Pringle (Lasec), Ouma Ngoepe (CMBG), Prof Maryna de Wit (SFSD), Dr Mariana Erasmus (CMBG), Bernadine Taljaard (ZZ2), Khezwo Nematshema (SFSD), Shahiëda Cloete (SFSD), Jan Andries Viktor (SFSD), Vuyelwa Nkoi (SFSD).
Liezl Geldenhuys (ZZ2), Mellisa Pringle (Lasec), Ouma Ngoepe (CMBG), Prof Maryna de Wit (SFSD), Dr Mariana Erasmus (CMBG), Bernadine Taljaard (ZZ2), Khezwo Nematshema (SFSD), Shahiëda Cloete (SFSD), Jan Andries Viktor (SFSD), Vuyelwa Nkoi (SFSD).

The Centre for Mineral Biogeochemistry (CMBG) at the University of the Free State (UFS) was part of another successful Tritech National Science and Technology Fair 2023 – an exciting STEM (Science, Technology, Engineering, and Mathematics) research competition.

The UFS has partnered with Tritech and other sponsors since 2021 to bridge the gap between high school and tertiary education. Tritech, which started in 2008 and is open to all Grade 7-12 learners, aims to equip them for tertiary education by introducing them to scientific research and incorporating modern technology in research. This is an annual competition that starts at the regional level and goes all the way to the national level, with the national competition held at the Merensky High School, in Tzaneen, Limpopo from 20-21 October 2023.

Schools from across the country take part in the fair, but learners compete in groups rather than schools. 

Every year the Tritech Nationals are divided into four main activities over the weekend: 
  1. On the Friday afternoon the learners present their STEM projects in which they have identified a problem in a community, do research to find a solution, do experiments to test if the solution will solve the problem, then test the solution in the community, and lastly, present their findings to a group of judges and learners in similar fields. Fields include Life Sciences, Engineering and Design, Maths, Science and Technology, Environmental and Social Sciences, Health Sciences and Agricultural Sciences.
  2. Friday evening is usually a fun activity for the learners.
  3. On Saturday morning the learners are exposed to work-related activities that give them insight into professions they could pursue in the science field. This activity is sponsored and presented by the UFS. 
  4. The last activity of the weekend is the prize-giving on Saturday afternoon where the learners get rewarded for the quality of their projects and honour, celebrate, and encourage excellence. 

“Every year the CMBG includes different departments from the UFS in alignment with the theme for the event, to ignite a lasting passion for innovation toward promising careers in the STEM fields. In 2022 the theme for Tritech was “Crime Scene Investigators” and the CMBG team created a very realistic crime scene and laboratory setup to teach the learners about Forensic Science. The learners scored our CSI activity as the best for the weekend and we knew that for the 2023 Nationals, we had our work cut out to do even better,” says Dr Erasmus. 

Learning about food health and safety

This year, Prof Maryna de Wit and her students from the Department of Sustainable Food Systems and Development (SFSD) joined the CMBG team, to introduce learners to food health and safety, food preservation, food systems and development, as well as sensory analyses. 

Island, shipwrecks, and wilderness survival

Dr Mariana Erasmus, Deputy Director of the Centre for Mineral Biogeochemistry (CMBG), spearheads the Tritech team from the UFS. CMBG, as part of its community outreach programme, is not only a sponsor of the event but is also the organiser of the main activity together with another UFS department. 

Dr Erasmus says the theme for Tritech 2023 was “Survival MasterChef”, where for the two activity events, the Tritech learners were “stranded” on an island. This exercise was a great way to promote leadership qualities, encourage creativity and confidence, promote teamwork and active communication, and increase critical thinking in learners, while they got to know more about food health and safety practices.

“It was all island, shipwrecks, and wilderness survival at this year’s event where learners had to survive after being ‘stranded’ on an island. To escape, the learners had to build a boat and while they waited to be rescued, they needed to adapt to island life to survive by preparing healthy meals, as well as preparing meals and drinks to treat dehydration and scurvy,” says Dr Erasmus. 

“During the prize-giving, some of the learners received shadowing opportunities at the UFS and other sponsors to advance their education. Bronze, silver, and gold medals, together with participation certificates, were awarded to other deserving learners.” 

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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