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05 May 2022 | Story Leonie Bolleurs | Photo Supplied
Prof Hennie van Coller and Prof Hendrik Swart
Prof Hennie van Coller, left, received the the NP van Wyk Louw medal, and Prof Hendrik Swart, right, received the Havenga Prize for Physical Sciences.

The board of the Suid-Afrikaanse Akademie vir Wetenskap en Kuns (SAAWK) recently (22 April) announced the winners of the 2022 prizes. The academy, which was established in 1901, aims to promote the use of Afrikaans in science and the arts.

Havenga Prize for Physical Sciences

Prof Hendrik Swart, NRF B1-rated researcher, SARChI Research Chair in Solid-state Luminescent and Advanced Materials, and Senior Professor in the Department of Physics at the University of the Free State (UFS), received the prestigious Havenga Prize for Physical Sciences.

He says it is an honour to receive this award. “When I look at the list of names that have received the award in the past, I am very humbled and surprised to receive such an award.”

The Havenga Prize, for which candidates are specifically judged on research publications and evidence of their promotion of Afrikaans, has been awarded annually for the past 77 years for original research in the natural sciences or a technical field. 

A collaboration with researchers from the Nelson Mandela University (NMU) on semiconductor materials that improve the efficiency of solar cells, resulted in Prof Japie Engelbrecht (Emeritus Professor, NMU) nominating Prof Swart for this award. He is involved in an NRF collaborative research project with NMU and Linköping University in Sweden.

Prof Swart has played an important role in the acquisition of numerous research devices for analysing the thin layer of phosphor, and the semiconductor devices that can be made from such materials. His research and zeal for his work led to the establishment of the national nano-surface characterisation facility (NNSCF) containing state-of-the-art surface characterisation equipment. 

The PHI Quantes XPS system, for instance, is the first in Africa and one of only 20 in the world. The Quantes XPS system uses X-rays to determine the chemical composition of molecules on the surface of a sample. The system is unique in the sense that it also has an extra X-ray source that can determine the chemical state below the surface, which was not possible in the past. This will help to dictate the position of defects in phosphor materials, which will consequently enable the department to create better phosphor for solid-state lighting as well as solar cell applications.

The most meaningful for him, however, was the production of several well-trained postgraduate students and the generation of high-impact, well-cited scientific publications.

This award, one of several awards he has received during his career, does not signify the end of the road. On the contrary, he is looking forward to improving solar cells by using the phosphor materials they have manufactured, applying it on glass windows doped with phosphors to generate electricity.

NP van Wyk Louw Medal and Alba Bouwer Prize for children's literature

The NP van Wyk Louw Medal was awarded to Prof Hennie van Coller, a researcher who is also affiliated to the UFS. Prof Van Coller, currently an emeritus outstanding professor and research fellow at the university, was a former Head of the UFS Department of Afrikaans and Dutch, German and French, as well as Chairperson of SAAWK. He is known for his impact on the literary world, both locally and internationally, through the quality of his scientific articles and books. 

According to SAAWK, the body awards the NP van Wyk Louw Medal for a person’s creative contributions to the exploitation, organisation, and continuous development of a section of the humanities, significantly contributing to the advancement of the humanities.

Jaco Jacobs, the children’s author of more than 170 books who recently presented the 35th DF Malherbe Memorial Lecture at the UFS, was also awarded for his work. Jacobs, also a UFS alumnus, received the Alba Bouwer Prize for children's literature. The prize, which is awarded every three years, was presented to Jacobs for the book Die boekwinkel tussen die wolke, written during the COVID-19 lockdown period. 

SAAWK will present the awards later this year during two virtual award ceremonies in July. 

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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