Phase retrieval is a highly useful technique that allows the calculation of the complex electric field of a beam of spatially coherent radiation based only on recordings of intensity profiles with a camera. In this work, we demonstrate what we believe, to the best of our knowledge, is a new technique for single-beam multiple-intensity phase retrieval based on simultaneous propagations that provides improved fidelity results compared to standard methods (0.9931 compared to 0.9646) and a 34 dB reduction in background noise level. The implementation is fast, open source, user friendly, and can be run on either CPUs or GPUs. It is available for download at https://gitlab.gbar.dtu.dk/biophotonics/PhaseRetrieval.
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http://dx.doi.org/10.1364/AO.402859 | DOI Listing |
Objectives: To understand the competitive position of the UK in comparison to Europe and the USA for haematological cancer clinical research.
Design: Using commercially available databases, clinical trial numbers, their effectiveness and publication outputs were evaluated in two analyses: a macrodevelopment and a research activity and performance analysis.
Data Sources: The following databases were used for this analysis: Organisation for Economic Co-operation and Development, Thomson Reuters Incidence and Prevalence, the Cortellis Clinical Trial Intelligence, the Clarivate Cortellis Innography Patent Intelligence, Thomson-Reuters Cortellis Regulatory Intelligence, Thomson Reuters Web of Science and data from the Centre for Medicine Research (CMR).
Tissue Eng Part B Rev
December 2024
Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Mexico.
Conditions such as congenital abnormalities, cancer, infections, and trauma can severely impact the integrity of the auricular cartilage, resulting in the need for a replacement structure. Current implants, carved from the patient's rib, involve multiple surgeries and carry risks of adverse events such as contamination, rejection, and reabsorption. Tissue engineering aims to develop lifelong auricular bioimplants using different methods, different cell types, growth factors and maintenance media formulations, and scaffolding materials compatible with the host.
View Article and Find Full Text PDFJ Clin Periodontol
December 2024
Department of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Background: Artificial intelligence (AI) has the potential to enhance healthcare practices, including periodontology, by improving diagnostics, treatment planning and patient care. This study introduces 'PerioGPT', a specialized AI model designed to provide up-to-date periodontal knowledge using GPT-4o and a novel retrieval-augmented generation (RAG) system.
Methods: PerioGPT was evaluated in two phases.
Hippocampus
January 2025
Center for Systems Neuroscience, Boston University, Boston, Massachusetts, USA.
In keeping with the historical focus of this special issue of Hippocampus, this paper reviews the history of my development of the SPEAR model. The SPEAR model proposes that separate phases of encoding and retrieval (SPEAR) allow effective storage of multiple overlapping associative memories in the hippocampal formation and other cortical structures. The separate phases for encoding and retrieval are proposed to occur within different phases of theta rhythm with a cycle time on the order of 125 ms.
View Article and Find Full Text PDFHopfield neural networks (HNNs) promise broad applications in areas such as combinatorial optimization, memory storage, and pattern recognition. Among various implementations, optical HNNs are particularly interesting because they can take advantage of fast optical matrix-vector multiplications. Yet their studies so far have mostly been on the theoretical side, and the effects of optical imperfections and robustness against memory errors remain to be quantified.
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