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29 January 2020 | Story Leonie Bolleurs | Photo Dr Marieka Gryzenhout and Gary Goldman.
Mushroom
Scutellinia scutellate, commonly known as eyelash cup, molly eye-winker, scarlet elf cap, or eyelash fungus, grows gregariously, or in clusters, and sometimes in dense swarms on moist hardwood logs, sometimes near water or marshy places.

Citizen scientists and nature lovers who are serious and enthusiastic about fungi, can now sit back and relax with a copy of the recently published nature guide titled FField guide to mushrooms & other fungi of South Africa (Penguin Random House Struik, Cape Town).

Dr Marieka Gryzenhout, a C-rated scientist and Senior Lecturer in the Department of Genetics at the University of the Free State (UFS), co-authored the book with Gary Goldman, amateur mycologist from Cape Town.

The book contains descriptions of 200 species and extensive background information and tips on fungi.

‘They are all beautiful to me’

Dr Gryzenhout says fungi are her passion, both small and large. “Interest in mushrooms is currently booming in South Africa, and there was thus a great need to bring out a book with more species than my previous book, Pocket Guide to Mushrooms of South Africa, published in 2010.”

The latter is the first book that Dr Gryzenhout published on South African mushrooms. The book is still available in stores and she is currently revising it.

She does not have a favourite mushroom or fungus, “because they are all beautiful to me”, she states. In the book she published with Goldman, they cover, among others, general information on what fungi are – since very few people know about them. The book also serves as an identification guide, with a range of photographs for each species to make identification easier. 

Goldman furthermore added his flair and expertise, with general information on how to forage for mushrooms (hunting for mushrooms) for the dinner table, together with some tasty recipes.

“Citizen scientists are mostly interested in the edible fungi and mushrooms. However, they are beautiful and conspicuous, and it is gratifying to find them and actually being able to identify this rather ill-studied group,” adds Dr Gryzenhout.

Contributions of citizen scientists helpful

She says, in general, people were overjoyed that another guide on mushrooms was finally published. Dr Gryzenhout continues: “The excellent range of photographs, contributed by a variety of citizen scientists, were stunning and helpful.  In the time when the book came out, no less than seven mushroom-related societies were brought to life by citizens due to the rapidly growing interest in fungi and the need for information. A follow-up to the book is already needed!”

She says the book is bought as gifts and prizes in these societies, “which we are really humbled about. Since the book contains a number of first reports for South Africa as well as a range of edible and poisonous fungi, it is also important for biodiversity and human health.”

More than 1 500 copies of the book have already been sold since is appearance.

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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