In "Polarisation vision: overcoming challenges of working with a property of light we barely see" (Foster et al. 2018) we provide a basic description of how Stokes parameters can be estimated and used to calculate the angle of polarisation (AoP).
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http://dx.doi.org/10.1007/s00114-018-1559-8 | DOI Listing |
Clin Exp Optom
January 2025
Department of Optometry, Deakin University, Geelong, Australia.
Entrustable professional activities (EPAs) are increasingly being adopted as an assessment tool by medicine and other health professions in a bid to enhance competency-based health professional education. EPAs are well-defined professional activities that can be entrusted to students to perform with varying levels of supervision. They were introduced to overcome some of the limitations of traditional assessment methods of competency such as individual skills assessment or Direct Observation of Procedures and Objective Structured Clinical Examinations.
View Article and Find Full Text PDFACS Omega
January 2025
Centre for Ocular Research & Education (CORE), School of Optometry & Vision Science, University of Waterloo, 200 University Avenue West, Waterloo N2L 3G1, ON, Canada.
Dry eye disease is becoming increasingly prevalent, and lubricating eye drops, a mainstay of its treatment, have a short duration of time on the ocular surface. Although there are various drug delivery methods to increase the ocular surface residence time of a topical lubricant, the main problem is the burst release from these delivery systems. To overcome this limitation, herein, a chemical-physical interpenetrating network (IPN) was fabricated to take control over the release of poly(vinyl alcohol) (PVA), a well-known therapeutic agent used to stabilize tear film, from gelatin methacrylate (GelMA) hydrogels.
View Article and Find Full Text PDFALTEX
January 2025
National Institutes of Health, National Institute for Environmental Health Sciences, DTT/NICEATM, Durham, NC, USA.
The integration of artificial intelligence (AI) into new approach methods (NAMs) for toxicology rep-resents a paradigm shift in chemical safety assessment. Harnessing AI appropriately has enormous potential to streamline validation efforts. This review explores the challenges, opportunities, and future directions for validating AI-based NAMs, highlighting their transformative potential while acknowledging the complexities involved in their implementation and acceptance.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Beijing Tongren Eye Center, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Ophthalmology&Visual Sciences Key Lab, Medical Artificial Intelligence Research and Verification Key Laboratory of the Ministry of Industry and Information Technology, Beijing Key Laboratory of Intelligent Diagnosis, Treatment and Prevention of Blinding Eye Diseases, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Retinal diseases can severely impair vision and even lead to blindness, posing significant threats to both physical and mental health. Physical retinal regenerative therapies are poised to revolutionize the treatment of various disorders associated with blindness. However, these therapies must overcome the challenges posed by the protective inner and outer blood‒retinal barriers.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of AI & Big Data, Honam University, Gwangju 62399, Republic of Korea.
This study proposes an advanced plant disease classification framework leveraging the Attention Score-Based Multi-Vision Transformer (Multi-ViT) model. The framework introduces a novel attention mechanism to dynamically prioritize relevant features from multiple leaf images, overcoming the limitations of single-leaf-based diagnoses. Building on the Vision Transformer (ViT) architecture, the Multi-ViT model aggregates diverse feature representations by combining outputs from multiple ViTs, each capturing unique visual patterns.
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