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29 October 2024 | Story Leonie Bolleurs | Photo Supplied
Thandi Mazibuko
Thandi Mazibuko, with her presentation: LED there be light, was the overall institutional winner in the PhD category and the runner-up in the national competition of this year’s 3MT competition.

The Centre for Graduate Support (CGS) recently (11 October 2024) hosted the annual institutional Three-Minute Thesis Competition (3MT), which was followed by the national competition (25 October). This year, the nationals took place on the UFS Bloemfontein Campus. According to Tshepiso Mokoena, responsible for Research Capacity Development in CGS, the participating master’s and PhD students gave well-prepared presentations. The competition aims to equip postgraduate students with valuable communication and presentation skills.

She says that postgraduate students are encouraged to do research that will benefit the community. “To do this, students should be able to communicate and present their research to a non-specialist audience. The 3MT competition trains and equips them with skills that they will use in their community and workplace,” she noted.

Overall PhD winner

The overall winner in the PhD category of the UFS competition was Thandi Mazibuko with her presentation: LED there be light. Thandi was also announced as the first runner-up at the national competition.

Growing up in Qwaqwa, Thandi’s passion for mathematics and the natural sciences led her to pursue a BSc Physics degree at the UFS in 2013, followed by an honours at the UFS. She then completed her MSc at the University of the Western Cape and worked as a science engagement intern at iThemba LABS in Cape Town, which inspired her to start a YouTube channel with more than 4 800 subscribers, called Thandisayensi. On this channel she uploads Physical Sciences videos for learners in grades 10-12.

Thandi states that she loves learning and being in learning environments; in 2022, she registered for a PhD in Solid State Physics under the supervision of Prof Hendrik Swart and Prof David Motaung.

Her research focuses on synthesising a phosphor material capable of emitting red, green, and blue light, which, when combined, creates the perception of white light. Thandi compared the research process to cooking, explaining how the preparation of phosphors resembles food preparation. She believes that relatable language, analogies, and storytelling are important tools in science communication.

Thandi says that this competition was a valuable platform to improve her science communication skills. “It is an interesting challenge to explain your work in 180 seconds to an audience with different backgrounds,” she said, adding that she is excited to represent the UFS at the national competition.

The other winners

Each department hosts its own 3MT competition, and the winners and runners-up in both the master’s and PhD categories then represent their faculty in the institutional competition.

The master’s category winners from other faculties were:

  • Faculty of Economic and Management Sciences: Evodia Mohoanyane with Does SI/tutoring work and what about it works? Evodia was also the overall winner in the institutional competition in the master’s category.
  • The Humanities: Yonwaba Matshobotiyana with Of Speaking and Visibility: Black Women Poets' Voices in South Africa
  • Health Sciences: Viwe Fokazi with Establishing a novel 3D doxorubicin-resistant triple-negative breast cancer spheroid model

In the PhD category, the winners were:

  • Economic and Management Sciences: Chrizaan Grobbelaar with The use of gamification to enhance retirement preparedness of millennials
  • The Humanities: Sheree Pretorius with The Psychometric Properties of the Prison Adjustment Questionnaire (PAQ) among South African Male Incarcerated Offenders

With Thandi, first runner-up of the institutional competition, Chrizaan, participated in the national 3MT competition. Universities such as the Nelson Mandela University, UNISA, University of KwaZulu-Natal, University of the Western Cape, University of Johannesburg, and the Central University of Technology were also present. 

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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