Using a ray-tracing approach, we calculate photorealistic images and simple movies of objects in a material with negative index of refraction. Our results show several surprising and drastic effects, for example reversal of apparent object velocity, extreme distortions of object shape, and even apparent loss of connectivity of simple objects. The material presented aims at giving both researchers and laymen an intuition and visual understanding for the unusual optical properties of negative-index materials.
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http://dx.doi.org/10.1364/oe.14.001842 | DOI Listing |
Eur J Hum Genet
January 2025
Institute for Genomic Statistics and Bioinformatics, Bonn, NRW, Germany.
The facial gestalt (overall facial morphology) is a characteristic clinical feature in many genetic disorders that is often essential for suspecting and establishing a specific diagnosis. Therefore, publishing images of individuals affected by pathogenic variants in disease-associated genes has been an important part of scientific communication. Furthermore, medical imaging data is also crucial for teaching and training deep-learning models such as GestaltMatcher.
View Article and Find Full Text PDFJ Imaging
December 2024
Department of Computer Science, Kiel University, 24118 Kiel, Germany.
Due to recent advances in 3D reconstruction from RGB images, it is now possible to create photorealistic representations of real-world scenes that only require minutes to be reconstructed and can be rendered in real time. In particular, 3D Gaussian splatting shows promising results, outperforming preceding reconstruction methods while simultaneously reducing the overall computational requirements. The main success of 3D Gaussian splatting relies on the efficient use of a differentiable rasterizer to render the Gaussian scene representation.
View Article and Find Full Text PDFiScience
December 2024
Institute of Biotechnology, Helsinki Institute of Life Science, University of Helsinki, 00014 Helsinki, Finland.
Advancements in noninvasive surface and internal imaging techniques, along with computational methods, have revolutionized 3D visualization of organismal morphology-enhancing research, medical anatomical analysis, and facilitating the preservation and digital archiving of scientific specimens. We introduce the SmARTR pipeline (Small Animal Realistic Three-dimensional Rendering), a comprehensive workflow integrating wet lab procedures, 3D data acquisition, and processing to produce photorealistic scientific data through 3D cinematic rendering. This versatile pipeline supports multiscale visualizations-from tissue-level to whole-organism details across diverse living organisms-and is adaptable to various imaging sources.
View Article and Find Full Text PDFCureus
November 2024
Faculty of Medicine, Institute for Implementation Science in Health Care, University of Zurich, Zurich, CHE.
Background: Generative artificial intelligence (AI) models that can produce photorealistic images from text descriptions have many applications in medicine, including medical education and the generation of synthetic data. However, it can be challenging to evaluate their heterogeneous outputs and to compare between different models. There is a need for a systematic approach enabling image and model comparisons.
View Article and Find Full Text PDFAppetite
December 2024
Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia; Empirica Research, Melbourne, Victoria, Australia. Electronic address:
Child-oriented snack foods often display front-of-pack images suggesting they are natural or wholesome, yet many of these products are ultra-processed and nutrient poor. This study investigated parent's perceptions in response to common forms of front-of-pack food imagery on child-orientated snacks. An online experiment comprising four between-subjects food image conditions (no image; food photo; food cartoon; cartoon of children gardening) and two within-subjects snack type conditions (fruit; vegetable) was conducted with N = 800 Australian adult parents/guardians of children aged 4-10 years.
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