The human light modulation response allows humans to perceive objects clearly by receiving the appropriate amount of light from the environment. This paper proposes a biomimetic ocular prosthesis system that mimics the human light modulation response capable of pupil and corneal reflections. First, photoinduced synaptic properties of the quantum dot embedded photonic synapse and its biosimilar signal transmission is confirmed. Subsequently, the pupillary light reflex is emulated by incorporating the quantum dot embedded photonic synapse, electrochromic device, and CMOS components. Moreover, a solenoid-based eyelid is connected to the pupillary light reflex system to emulate the corneal reflex. The proposed ocular prosthesis system represents a platform for biomimetic prosthesis that can accommodate an appropriate amount of stimulus by self-regulating the intensity of external stimuli.
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http://dx.doi.org/10.1038/s41467-022-34448-6 | DOI Listing |
Taiwan J Ophthalmol
November 2024
Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand.
Recent advances of artificial intelligence (AI) in retinal imaging found its application in two major categories: discriminative and generative AI. For discriminative tasks, conventional convolutional neural networks (CNNs) are still major AI techniques. Vision transformers (ViT), inspired by the transformer architecture in natural language processing, has emerged as useful techniques for discriminating retinal images.
View Article and Find Full Text PDFMethodsX
June 2025
Assistant Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Tamil Nadu, 600062, India.
Glaucoma, a severe eye disease leading to irreversible vision loss if untreated, remains a significant challenge in healthcare due to the complexity of its detection. Traditional methods rely on clinical examinations of fundus images, assessing features like optic cup and disc sizes, rim thickness, and other ocular deformities. Recent advancements in artificial intelligence have introduced new opportunities for enhancing glaucoma detection.
View Article and Find Full Text PDFClin Ophthalmol
January 2025
Department of Research and Development, MD Italy, Albano Laziale, Italy.
Purpose: To assess the efficacy, adherence, and tolerability of a new artificial tear based on arabinogalactan, hyaluronic acid, and trehalose in a population with dry eye disease (DED).
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Psychiatry Res
January 2025
Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University, Japan; Artificial Intelligence Ethics and Society Team, RIKEN Center for Advanced Intelligence Project, Saitama, Japan; The General Research Division, Osaka University Research Center on Ethical, Legal and Social Issues, Kyoto, Japan. Electronic address:
Background: Our human volumetric MRI study (Dai et al., 2024) demonstrated that habenula (Hb) volume is associated with psychological resilience, a key protective factor against depression. However, the biological mechanisms underpinning this relationship remain unclear.
View Article and Find Full Text PDFNeural Netw
January 2025
School of Automation Science and Engineering, South China University of Technology, China. Electronic address:
Talking face generation is a promising approach within various domains, such as digital assistants, video editing, and virtual video conferences. Previous works with audio-driven talking faces focused primarily on the synchronization between audio and video. However, existing methods still have certain limitations in synthesizing photo-realistic video with high identity preservation, audiovisual synchronization, and facial details like blink movements.
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