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10 June 2024 | Story Precious Shamase | Photo Supplied
Prof Richard Ocaya
Prof Richard Ocaya, Associate Professor from the Physics Department.

Prof Richard Ocaya from the Faculty of Natural and Agricultural Sciences at the University of the Free State (UFS) Qwaqwa  Campus has achieved a significant milestone with a newly patented invention. This patent, developed in collaboration with researchers from Turkey and Saudi Arabia, is the result of work that began in 2017, focusing on a special material known as graphitic carbon nitride.

This breakthrough in temperature measurement technology aligns perfectly with the university's Vision 130 commitment to innovation and addressing global challenges. The new device offers a unique solution to a longstanding issue in the field, providing accurate temperature measurements across an extremely wide range. Existing solutions often require multiple devices, leading to increased costs and reduced accuracy, but this invention simplifies the process.

The device, based on a combination of graphitic carbon nitride and silicon, can measure temperatures from -250°C to 250°C with exceptional consistency and linearity. This range and accuracy set it apart from current technologies, making it suitable for various applications, from standard temperature measurement to specialized settings involving extreme temperatures. It could be especially valuable in deep-space exploration, where equipment faces drastic temperature fluctuations.

The patent underscores the university's commitment to fostering collaborative research, a key aspect of Vision 130. Prof Ocaya attributes the success of the invention to the robust nature of the team, established in 2015. The team is now seeking to commercialize the technology by licensing it to a suitable partner, with organizations like NASA expected to show significant interest.

Prof Ocaya advises other academics considering patenting their inventions to ensure the patent solves a real problem uniquely and is based on sound principles. This makes the invention reproducible and protects it from being copied, assigning exclusive rights to the patent holder. Patenting allows for either manufacturing the devices or licensing them to third parties for royalties and profit. He notes that the main consideration is that the innovation must be practical and solve a specific problem in a novel and commercially viable way. He also acknowledges the challenge many academics face, as the "publish or perish" mentality often leads to choosing scientific articles over patents.

Despite securing the patent, Prof Ocaya and his team continue their research efforts, exploring new possibilities while balancing practical research with academic pursuits. He believes the invention will significantly impact the field of temperature measurement, being integrated into many new designs requiring such measurements.

The university proudly supports this innovative research and anticipates its real-world impact, furthering Vision 130's commitment to increasing UFS's research capacity and capability.

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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