A 3D Measurement Using Modulated Pattern Projection

application/pdf論文(Article)By the 3-D image measurement methods, such as space pattern projection technique and moire topography, to discern the exact striped order is taken as the foundations of measure­ment. Because the depth range of an object is computed by correspondence relation between the fringe order of a realective pattern, and the depth of an object. Multiple images needs by the conventional method. Moreover, by methods, such as the moire method and the interfering method, this is known as the problem of phase unwrapping of moire patterns or interfering patterns. Because of this problem, it is difficult to calculate the absolute phase or to discern the relation between the fringes, especially in the cases in which the fringes are discontinuous or the objects are isolated, and so forth. The technique of using modulated projection with 3-D information is presented. A new fringe pattern whose fringe intensity or color changes with its order can produced. The fringe order can be extracted easily from the fringe intensity or color, and the absolute phase or absolute depth range can be obtained solely by its intensity or color.departmental bulletin pape

Methylene blue-photodynamic therapy for Microsporum canis infection: investigating a dual mechanism of fungicidal action and neutrophil homeostasis restoration

BackgroundMicrosporum canis is an increasingly common cause of tinea capitis. Conventional antifungal therapies are limited by toxicity and resistance, creating a need for novel treatments. Antimicrobial photodynamic therapy (aPDT) is a promising alternative. We investigated the efficacy and dual mechanism of methylene blue-photodynamic therapy (MB-PDT) against M. canis, focusing on its effects on the host innate immune response.MethodsThe in vitro susceptibility of clinical M. canis isolates was determined by broth microdilution. Fungal ultrastructural changes were examined using transmission electron microscopy. In vivo efficacy was assessed in a murine dermatophytosis model and compared to topical terbinafine. Systemic immunomodulatory effects were evaluated by flow cytometric analysis of peripheral blood neutrophil phenotypes (Dectin-1, Dectin-2) and functional markers (MPO, NOX2).ResultsIn vitro, MB-PDT demonstrated potent fungicidal activity (Geometric Mean MIC at 80 J/cm2: 0.367 μg/mL; 95% CI: 0.295–0.439 μg/mL). It induced severe ultrastructural damage, including mitochondrial collapse and cell wall disruption. In the murine model, MB-PDT achieved an 80% mycological cure rate, significantly outperforming topical terbinafine (20% cure rate). Mechanistically, M. canis infection induced systemic neutrophil dysfunction, evidenced by a population shift and suppressed MPO and NOX2 expression. MB-PDT treatment reversed this immune dysfunction, restoring neutrophil homeostasis and the expression of key functional markers (MPO, NOX2).ConclusionMB-PDT is a highly effective treatment for M. canis infection. Its efficacy is based on a dual mechanism: direct fungicidal action through oxidative damage and restoration of host neutrophil function

SciCode: A Research Coding Benchmark Curated by Scientists

Since language models (LMs) now outperform average humans on many challenging tasks, it has become increasingly difficult to develop challenging, high-quality, and realistic evaluations. We address this issue by examining LMs\u27 capabilities to generate code for solving real scientific research problems. Incorporating input from scientists and AI researchers in 16 diverse natural science sub-fields, including mathematics, physics, chemistry, biology, and materials science, we created a scientist-curated coding benchmark, SciCode. The problems in SciCode naturally factorize into multiple subproblems, each involving knowledge recall, reasoning, and code synthesis. In total, SciCode contains 338 subproblems decomposed from 80 challenging main problems. It offers optional descriptions specifying useful scientific background information and scientist-annotated gold-standard solutions and test cases for evaluation. Claude3.5-Sonnet, the best-performing model among those tested, can solve only 4.6% of the problems in the most realistic setting. We believe that SciCode demonstrates both contemporary LMs\u27 progress towards becoming helpful scientific assistants and sheds light on the development and evaluation of scientific AI in the future.25 pages, 9 figures, 7 table

A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface

Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Since there are a limited number of measurement instruments, there is a possibility that large prediction errors will occur. In order to solve this problem, a long-distance tsunami measurement system based on the binocular stereo vision principle is proposed in this paper. The measuring range is 4–20 km away from the system deployment site. In this paper, we will focus on describing the stereo matching method for the proposed system. This paper proposes a two-step matching method. It first performs fast sparse matching, and then complete high precision dense matching based on the results of the sparse matching. A matching descriptor based on the physical features of sea waves is proposed to solve the matching difficulty caused by the similarity of sea surface image textures. The relationship between disparity and the y coordinate is built to reduce the matching search range. Experiments were conducted on sea surface images with different shooting times and distances; the results verify the effectiveness of the presented method

A Stereo Matching Method for 3D Image Measurement of Long-Distance Sea Surface

Tsunamis are some of the most destructive natural disasters. Some proposed tsunami measurement and arrival prediction systems use a limited number of instruments, then judge the occurrence of the tsunami, forecast its arrival time, location and scale. Since there are a limited number of measurement instruments, there is a possibility that large prediction errors will occur. In order to solve this problem, a long-distance tsunami measurement system based on the binocular stereo vision principle is proposed in this paper. The measuring range is 4–20 km away from the system deployment site. In this paper, we will focus on describing the stereo matching method for the proposed system. This paper proposes a two-step matching method. It first performs fast sparse matching, and then complete high precision dense matching based on the results of the sparse matching. A matching descriptor based on the physical features of sea waves is proposed to solve the matching difficulty caused by the similarity of sea surface image textures. The relationship between disparity and the y coordinate is built to reduce the matching search range. Experiments were conducted on sea surface images with different shooting times and distances; the results verify the effectiveness of the presented method.</jats:p