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04 April 2024 | Story Leonie Bolleurs | Photo Stephen Collett
Prof Frank Zachos
Prof Frank Zachos recently delivered his inaugural lecture on the UFS Bloemfontein Campus.

Prof Frank Zachos, a scientist and Head of the Mammal Collection at the Natural History Museum (NHM) in Vienna – one of the world’s largest natural history museums – recently delivered his inaugural lecture at the University of the Free State (UFS) on the Bloemfontein Campus.

His lecture was titled: Of bat bombs and super moms – the wondrous and wondrously curious world of mammals.

Prof Zachos, an affiliated researcher at the UFS, says he chose mammals as the topic of his lecture because he is a mammalogist and curator of mammals at the Natural History Museum. Additionally, he collaborates with Prof Paul Grobler, Head of the Department of Genetics, on mammal projects.

Exposure to almost unparalleled biodiversity in SA

With a mixture of entertaining fun facts and some proper research results, he presented his lecture, providing an overview of some of the most interesting aspects of mammals. These included their different ways of reproduction: the platypuses laying eggs, the tiny marsupial offspring growing in a pouch, and placental mammals having long gestation times. Furthermore, he compared levels of biodiversity in South Africa and Europe and highlighted some particularly bizarre mammals, such as the aye-aye, naked mole-rat, the platypus, and two extinct South African ungulates from their collection in Vienna – the quagga and the blue antelope.

Prof Zachos also discussed his own research on blue antelope genetics, as well as research on other species, in the context of the detrimental impact humans have on mammals and other wildlife.

Moreover, his lecture included a reference to Project X-Ray, a story of how the US army pursued an unsuccessful plan to use bats as carriers of mini bombs in World War II.

Prof Zachos, who is specifically known for his research on the systematics, biogeography, and genetics of red deer, as well as his theoretical work on the species problem (‘what is a species?’ –  one of the most hotly debated topics in evolutionary biology), is affiliated with the UFS due to his longstanding collaboration with Prof Grobler. He says they have known each other for a long time, have published together, and that he has also served as an external reviewer for several theses coming from the Department of Genetics.

“Apart from this personal connection, what made this collaboration particularly interesting to me from a professional viewpoint, is the rich wildlife biodiversity and the research focus of Prof Grobler’s research group, which overlaps significantly with my own longstanding interests,” adds Prof Zachos.

“Working with Prof Grobler, I am involved in studies on the genetic diversity and structuring of different mammal species occurring in South Africa. The opportunity to spend time in the field for sample collection and other activities is definitely also a highlight,” remarks Prof Zachos.

Ideal combination of academic and personal growth

Regarding his connection with the UFS and its impact on shaping the future direction of his research, he states that he has a strong interest in antelopes – a group of mammals not found in Europe, but very prominent in South Africa. “Apart from that, people in the Department of Genetics have expertise in relevant areas that I personally do not have, for example bioinformatics. For me, it is the ideal combination of academic and personal growth, and I am very grateful to have this unique opportunity.”

He believes that his affiliation with the UFS and its Department of Genetics will continue to provide him with opportunities to expand his research and knowledge to different species and ecosystems.

Beyond science, he says that he has developed an interest in the country as well. “I have been reading books about South Africa, and I consider myself very privileged to have a second academic home here, which gives me the opportunity for exchange with people of different backgrounds,” he comments.

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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