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23 February 2024 | Story Leonie Bolleurs | Photo SUPPLIED
Tebogo Motsei
Tebogo Motsei, a PhD student in Physics at the UFS, has been awarded the prestigious CV Raman International Fellowship for African Researchers.

Imagine a supercapacitor/battery made right here in South Africa that could change the way we store energy for the better. A product that can store energy in real time, thus solving energy problems as they happen, which makes a huge difference especially during power outages. A product that is not just good for the environment – transitioning away from lithium-ion batteries – but that can also create jobs and boost the local economy.

What we are talking about is a type of technology known as a sodium-ion supercapacitor/battery, which is the focus of Tebogo Motsei’s research. This technology serves as a power source for lighting, power plants, cars, and phones. Motsei, a PhD student in the Department of Physics on the Qwaqwa Campus of the University of the Free State (UFS), explains that – unlike lithium batteries, which have undergone extensive research and are expensive to produce – they are conducting experimental work and characterisations to determine if sodium-ion supercapacitor/batteries can perform as well or even better, using more affordable and eco-friendly materials.

“Our results, inspired by the urgent need for improved energy storage solutions in South Africa amid its energy challenges, have been very promising. We have successfully developed a sodium-ion supercapacitor/battery that stores as much energy as a lithium-ion battery. Moreover, it was crafted from recycled materials, making it a more cost-effective and environmentally friendly option,” states Motsei, adding that their battery is unique, as no one else in the world has created anything quite like it, despite numerous attempts.

She is also pleased with this supercapacitor/battery’s ability to repair itself. Motsei explains, “Imagine if your toy could fix itself whenever it got broken – that's kind of what our sodium-ion supercapacitor/battery does!”

Motsei is part of a group of scientists in the Department of Physics at the UFS who are working on this research and who have published a scientific article on their work, titled Composite super-capacitor/Na-ion battery with self-healing Fe–Cr alloy electrodes. 

“We're proud of what we have accomplished,” she remarks.

Fellowship: a dream come true

Being part of this impactful research contributed to Motsei receiving the prestigious CV Raman International Fellowship for African Researchers (2023). The fellowship is for African researchers engaged in research at an African institution, providing opportunities for research collaboration in India. Motsei will be the only candidate from South Africa.

This award is merit-based. Motsei attributes her selection to factors such as her strong academic record, research accomplishments, and innovative approach to solving complex problems. She also believes her experience in research, collaboration, and publication reflects her potential to make meaningful contributions to the field during the fellowship period. 

Another key factor contributing to her selection for this fellowship is her skill in fabricating actual devices/prototypes. “The hands-on nature of this research, allowing me to create devices from scratch, has always been my passion. Making my first device – the ‘Magnetron Sputtering Unit’ – during my master’s studies, was a turning point. It made me realise that I had made the best decision ever by choosing this research field. I'm truly passionate about my work,” says Motsei. 

For her PhD studies, she is supervised by Prof Richard Ocaya, Associate Professor in the Department of Physics, and co-supervised by Dr Kamohelo Tshabalala, Senior Lecturer in the Department of Physics. Prof Ocaya, proud of Motsei’s achievements, believes that this fellowship not only serves as a great motivation for students – especially on the Qwaqwa Campus – but also highlights the global relevance of the UFS, particularly the Department of Physics.

Motsei says receiving this fellowship is a dream come true and a profound, life-changing moment for her. “I feel deeply honoured to be concluding this programme at the CSIR-Electrochemical Research Institute, the host institution in India, under the guidance of Prof Arul Manuel Stephan, whose invaluable assistance has been instrumental in my preparations.” Motsei also expressed her gratitude towards everyone who has supported her during this process, including Sudhir Kumar from the Indian Embassy in Pretoria.

“I am excited about how I can use this opportunity to make a difference. Whether it’s tackling significant global energy issues or finding new ways to solve everyday problems, I know this fellowship will give me the tools and support needed to make a real impact. Overall, I see this fellowship as a stepping stone to exciting new opportunities and adventures in the world of research,” she comments.

Making a meaningful impact

Motsei will be leaving for India on 23 February for a period of six months. She is excited about this new chapter in her research journey. “This fellowship will enhance my abilities as a scientist and leader in physics, providing me with essential skills, connections, and experience to make a meaningful impact in science and energy. I'm genuinely happy about this opportunity, which I thank God for.”

  • Sir Chandrasekhara Venkata Raman, after whom the fellowship is named, was a renowned Indian physicist who made great contributions to physics, winning many prizes and awards, including the 1930 Nobel Prize in Physics. He was known for his work in the field of light scattering and was the first Asian and non-European to receive a Nobel prize in any branch of science. 

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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