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05 November 2024 | Story Leonie Bolleurs | Photo Supplied
BOOTES-6 telescope station
The BOOTES-6 telescope station captured a South African sighting of the southern lights, a rare atmospheric phenomenon powered by solar activity.

The northern lights, with their vibrant displays of green, pink, and violet hues, have become a famous attraction in Nordic countries. But in early October, a rare sighting of the southern lights – or aurora australis – was reported in South Africa, surprising many.

Prof Pieter Meintjes, Professor in the Department of Physics at the University of the Free State (UFS), explains that both the northern and southern lights are the result of charged particles from coronal mass ejections (CMEs) on the sun, which are captured by Earth’s magnetic field. "The interaction between magnetic fields and charged particles, such as protons and electrons, is very interesting. The magnetic field forces these particles to spiral around the field lines, ultimately guiding them towards the magnetic poles. As these particles enter Earth’s atmosphere, they collide with atmospheric atoms, causing a beautiful glow. The colours of the aurora indicate which atoms are involved. Typically, hydrogen shines red, while oxygen and nitrogen produce a greenish-blue tinge," he says.

Observing the southern lights

When the display occurs above the northern magnetic pole, it is called the aurora borealis (northern lights) and can typically be observed over regions such as Alaska, Greenland, and the Nordic countries. Above the southern magnetic pole, it is known as aurora australis (southern lights), usually visible over places such as Antarctica and New Zealand. “In extreme cases – when gigantic mass ejections occurred – it can also be observed in mid-latitudes such as South Africa,” says Prof Meintjes.

This recent and rare South African sighting was also captured by the BOOTES-6 telescope station at Boyden Observatory, located just outside Bloemfontein. According to Prof Meintjes, the telescope station has an all-sky monitor – a camera constantly watching the sky for changes and monitoring, among others, cloud cover to ensure that the telescope is always safe from weather. While the monitor was taking photos of the night sky, Prof Alberto Castro-Tirado, a research professor at the Institute of Astrophysics of Andalusia in Spain, picked up the aurora.

The Institute of Astrophysics of Andalusia in Spain, in collaboration with the University College Dublin (UCD), is partnering with the UFS in a research-driven initiative involving the BOOTES-6 telescope station, installed in 2022 during the COVID-19 pandemic. Under a Memorandum of Understanding that was recently renewed for another five years, the UFS and UCD share approximately 30% of the telescope's observing time dedicated to UFS research.

“The DPRT telescope (Dolores Pérez-Ramírez telescope), named after a Spanish astronomer and lecturer at the University of Jaén, contributes significantly to our research, with publications resulting from contributions made by the telescope station and collaborators on gamma-ray bursts, occultations, and transient events co-authored by me and a colleague in the department, Dr Hendrik van Heerden,” notes Prof Meintjes.

Research-driven initiatives

Data from the telescope station is also used for their in-house projects and contributes significantly to the work of their PhD students that will be submitted in the next few years. This includes the PhD work of Helene Szegedi, who uses data from the BOOTES-6 telescope station to study cataclysmic variable systems – compact binaries that erupt regularly. Another PhD student, Joleen Barnard, studies blazar variability under the guidance of Prof Brian van Soelen. Blazars, explains Prof Meintjes, are the core of distant galaxies powered by supermassive black holes. These cosmic jets are pointed towards Earth, but fortunately, they are millions or billions of light years away; otherwise, their impact would be devastating to life on Earth.

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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