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05 June 2019 | Story Leonie Bolleurs | Photo Leonie Bolleurs
Lucas Erasmus and Prof Hendrik Swart
Lucas Erasmus and Prof Hendrik Swart (right) are working on a joint project with Ghent University to find an attractive solution to address the energy demands of buildings, electric motor vehicles, and mobile electronics.
With a constant increase in the price of electricity, any innovation to replace this necessity in our daily lives is welcome. 

The University of the Free State (UFS), whose vision is supported by an element of innovation, welcomes the recent agreement between its Department of Physics and Ghent University.

Attractive solution

Not only will this research – which aims to develop the materials necessary for transparent solar panels – enlarge the international research footprint of the UFS, but it is also an attractive solution to address the energy demands of buildings, electric motor vehicles, and mobile electronics without affecting their appearance.

According to Prof Hendrik Swart, from the UFS Department of Physics, the agreement between the two universities entails a joint doctoral degree in which both universities will supervise the project and the awarding of the doctorate. The student, Lucas Erasmus, will conduct research at both institutions.

Transparent solar panel

The idea with the research is to develop glass that is transparent to visible light, just like the glass you find in the windows of buildings, motor vehicles, and mobile electronic devices. However, by incorporating the right phosphor materials inside the glass, the light from the sun that is invisible to the human eye (ultraviolet and infrared light) can be collected, converted, and concentrated to the sides of the glass panel where solar panels can be mounted. This invisible light can then be used to generate electricity to power these buildings, vehicles, and electronic devices. The invention is therefore a type of transparent solar panel.

Implemented in cellphone screens

This technology can be implemented in the building environment to meet the energy demands of the people inside the buildings. 

The technology is also good news for the 4,7 billion cellphone users in the world, as it can be implemented in the screens of cellphones, where the sun or the ambient light of a room can be used to power the device without affecting its appearance. 

Another possible application is in electric cars, where the windows can be used to help power the vehicle.

Low-income housing

Erasmus added: “We are also looking at implementing this idea into hard, durable plastics that can act as a replacement for zinc roofs.” 

“This will allow visible light to enter housing, and the invisible light can then be used to generate electricity. The device also concentrates the light from a large area to the small area on the sides where the solar panels are placed; therefore, reducing the number of solar panels needed and, in return, reducing the cost.”

The technology will take about a decade to implement.

“This study is currently ongoing, and we are experimenting and testing different materials in order to optimise the device in the laboratory. After this, it needs to be upscaled in order to test it in the field. It is truly the technology of the future,” said Erasmus.

Video: Barend Nagel

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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