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18 July 2019 | Story Julian Roup | Photo Leonie Bolleurs
Clear glass
UFS researchers Lucas Erasmus (left), researcher in the UFS Department of Physics and Prof Hendrik Swart, senior professor in the UFS Department of Physics and SARChI chair (South African Research Chairs Initiative) in Solid State Luminescent and Advanced Materials, with the equipment used for the ground-breaking research.

A revolutionary new type of window glass – in effect a transparent solar panel - is the objective of joint research being done by the University of the Free State (UFS) in South Africa and Ghent University in Belgium. 

A working model has been created which proves the viability of the process which now needs to be refined, made more efficient and brought to the market. It is hoped to achieve this within a decade.

This new product will have the capacity to revolutionise the generation of power cheaply from the sun to power homes, factories and cities in a new clean way.

Academics from the UFS, Prof Hendrik Swart and Lucas Erasmus are doing joint research with Ghent University in Belgium, to find solutions for energy production. 

The two universities entered into an agreement recently for this research into electricity generation. The research is driven by the UFS and was prompted by ever-rising electricity prices and growing demand for electricity production. South Africa lives with constant power outages which leaves people stuck in lifts and facing chaos on the roads as traffic lights cut out. Many people who can afford them now rely on generators.

Prof Hendrik Swart, senior professor in the Department of Physics at the University of the Free State and SARChI chair (South African Research Chairs Initiative) in Solid State Luminescent and Advanced Materials, says: “An innovation like this which can help to replace traditional means of carbon based fuel for power generation in our daily lives would be hugely welcome.”

Swart explains the main objective of the research: “The idea 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 buildings, vehicles and electronic devices. The goal is therefore to create a type of transparent solar panel.”

Swart says 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 cell phone users in the world, as it can be implemented in the screens of cell phones, where the sun or the ambient light of a room can be used to power the device without affecting its appearance,” he said.

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

Lucas Erasmus who is working with Prof Swart adds: “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 diffused 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.”

It is envisaged that the technology will take about a decade to refine and implement. This study is currently on-going, and UFS are experimenting and testing different materials in order to optimise the device in the laboratory. It then needs to be upscaled in order to test it in the field. “It is truly the technology of the future,” says 
Erasmus.

The UFS envisages that the end result of this research will provide an attractive solution to address the energy demands of buildings, electric motor vehicles and mobile electronics without affecting their appearance. 

According to Swart, the agreement entails a joint doctoral degree in which both universities will supervise the project and the awarding of the doctorate. Lucas Erasmus, a student at the UFS, has been tasked with the assignment to conduct research at both institutions.

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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