A5033158983- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- Cell Image Analysis Techniques
- Metabolomics and Mass Spectrometry Studies
- Face recognition and analysis
- Metabolism and Genetic Disorders
- Advanced Image and Video Retrieval Techniques
- Advanced Vision and Imaging
- Autophagy in Disease and Therapy
- Advanced Fluorescence Microscopy Techniques
- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Cutaneous Melanoma Detection and Management
- Spectroscopy Techniques in Biomedical and Chemical Research
- Virtual Reality Applications and Impacts
- Alzheimer's disease research and treatments
- Parkinson's Disease Mechanisms and Treatments
- Healthcare Technology and Patient Monitoring
- Remote-Sensing Image Classification
- Anomaly Detection Techniques and Applications
- Augmented Reality Applications
- Optical Imaging and Spectroscopy Techniques
- Color Science and Applications
- Non-Invasive Vital Sign Monitoring
- Biometric Identification and Security
Stellenbosch University
2017-2025
ABSTRACT Mitochondria and peroxisomes are dynamic signaling organelles that constantly undergo fission, driven by the large GTPase dynamin-related protein 1 (DRP1; encoded DNM1L). Patients with de novo heterozygous missense mutations in DNM1L present encephalopathy due to defective mitochondrial peroxisomal fission (EMPF1) – a devastating neurodevelopmental disease no effective treatment. To interrogate mechanisms which DRP1 cause cellular dysfunction, we used human-derived fibroblasts from...
Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis research. Usually, this is rendered as a projection onto two-dimensional display. We describe system for rendering such using modern virtual reality (VR) headset. Sample manipulation possible by fully-immersive hand-tracking also means of conventional gamepad. apply to the specific task colocalization analysis, an important tool microscopy. evaluate our set user trials.The trials show...
There exists a distinct lack of publicly available literature addressing the most effective hardware design for photoplethysmography (PPG) devices clinical and domestic applications. In this article, problem was addressed by investigating configuration PPG device, with particular emphasis on light source wavelength, brightness, number sources, photodetector lens shape, sensor-to-skin contact pressure. A participant study conducted to collect cardiovascular metric data from 110 participants...
Biomechanical movement analysis is crucial in medical and sports contexts, yet the technology remains expensive inaccessible to many. Recent advancements machine learning computer vision, particularly Pose Estimation (PE), offer promising alternatives. PE models detect key points on human body estimate its pose either 2D or 3D space, enabling markerless motion capture. This approach facilitates more natural flexible tracking without need for physical markers. However, systems generally lack...
Propionic acid (PPA) is used to study the role of mitochondrial dysfunction in neurodevelopmental conditions like autism spectrum disorders. PPA known disrupt biogenesis, metabolism, and turnover. However, effect on dynamics, fission, fusion remains challenging due complex temporal nature these mechanisms. Here, we use complementary quantitative visualization techniques examine how influences ultrastructure, morphology, dynamics neuronal-like SH-SY5Y cells. (5 mM) induced a significant...
Although modern fluorescence microscopy produces detailed three-dimensional (3D) datasets, colocalization analysis and region of interest (ROI) selection is most commonly performed two-dimensionally (2D) using maximum intensity projections (MIP). However, these 2D exclude much the available data. Furthermore, ROI selections cannot adequately select complex 3D structures which may inadvertently lead to either exclusion relevant or inclusion irrelevant data points, consequently affecting...
Memantine is an FDA-approved, non-competitive NMDA-receptor antagonist that has been shown to have mitochondrial protective effects, improve cell viability and enhance clearance of Aβ42 peptide. Currently, there are uncertainties regarding the precise molecular targets as well most favourable treatment concentrations memantine. Here, we made use imaging-based approach investigate concentration-dependent effects memantine on fission fusion dynamics, autophagy quality control using a neuronal...
Knowledge of a person’s level skin pigmentation, or so-called “skin tone”, has proven to be an important building block in improving the performance and fairness various applications that rely on computer vision. These include medical diagnosis conditions, cosmetic skincare support, face recognition, especially for darker tones. However, perception tone, whether by human eye optoelectronic sensor, uses reflection light from skin. The source this light, illumination, affects tone is...
Face recognition is widely used for security and access control. Its performance limited when working with highly pigmented skin tones due to training bias caused by the under-representation of darker-skinned individuals in existing datasets fact that darker absorbs more light therefore reflects less discernible detail visible spectrum. To improve performance, this work incorporated infrared (IR) spectrum, which perceived electronic sensors. We augmented images captured using visible, IR,...
Mitochondrial fission and fusion play an important role not only in maintaining mitochondrial homeostasis but also preserving overall cellular viability. However, quantitative analysis based on the three-dimensional localisation of these highly dynamic events context has yet been accomplished. Moreover, it remains largely uncertain where network depolarisation is most likely to occur. We present event localiser (MEL), a method that allows high-throughput, automated deterministic...
There is a need in the sports and fitness industry for practical system that can identify understand human physical activity to enable intelligent workout feedback virtual coaching. Such should be able classify an athlete's actions from only limited examples since it not feasible collect large quantity of data every action interest. In this paper, we present SUE-MD, novel dataset skeleton motion sequences seven common strength conditioning exercises as captured by both markerless...
Abstract Mitochondria and peroxisomes are both dynamic signaling organelles that constantly undergo fission. While mitochondrial fission is known to coordinate cellular metabolism, proliferation, apoptosis, the physiological relevance of peroxisome dynamics implications for cell fate not fully understood. DRP1 (dynamin-related protein 1) an essential GTPase executes peroxisomal Patients with de novo heterozygous missense mutations in gene encodes DRP1, DNM1L (Dynamin 1 Like) , present...
This paper presents an approach to reduce the negative effects of object density when objects are counted via detection in aerial images. A novel image dataset was generated and used fine-tune existing architecture. video also for development testing proposed approach. The datasets consist images videos sheep with scenarios tightly clustered isolated individuals. ensures both sparse dense distributions within our dataset. is compared a proven detection-based counting baseline. In this work,...
Traditional sheep counting methods are labour-intensive, time-consuming, and potentially disruptive to behaviour. Unmanned aerial vehicles (UAVs) machine learning (ML) techniques have emerged address these challenges by automating the process. However, solutions face difficulties due low object-to-image-pixel ratios high object densities in images captured for counting, which can compromise detection accuracy. In this study, we introduce evaluate a novel approach, sub-window inference,...
The qualitative analysis of colocalisation in fluorescence microscopy is critical importance to the understanding biological processes and cellular function. However, degree accuracy achieved may differ substantially when executing different yet commonly utilized analyses. We propose a novel visual method that determines correlation within intensities subsequently uses this assign colourmap value each voxel three-dimensional sample while also highlighting volumes with greater combined...
Abstract Mitochondrial fission and fusion play an important role not only in maintaining mitochondrial homeostasis but also preserving overall cellular viability. However, quantitative analysis based on the three-dimensional localisation of these highly dynamic events context has yet been accomplished. Moreover, it remains largely uncertain where network depolarisation is most likely to occur. We present event localiser (MEL), a method that allows high-throughput, automated deterministic...
This paper documents the development of a novel method to predict occurrence and exact locations mitochondrial fission, fusion depolarisation events in three dimensions. implementation neural networks these using information encoded only morphology mitochondria eliminate need for time-lapse sequences cells. The ability morphological single image can not democratise research but also revolutionise drug trials. location were successfully predicted with three-dimensional version Pix2Pix...
Abstract This paper documents the development of a novel method to predict occurrence and exact locations mitochondrial fission, fusion depolarisation events in three dimensions. These location these were successfully predicted with three-dimensional version Pix2Pix generative adversarial network (GAN) as well segmentation called Vox2Vox GAN. The GAN accuracies 35.9%, 33.2% 4.90%, respectively. Similarly, achieved 37.1%, 37.3% 7.43%. by networks this are too low for immediate implementation...