We present a novel optical signal processing scheme for enhancing the minimum detectable environmental perturbation of intensity-based fiber sensors. The light intensity is first stabilized by inducing a sinusoidal intensity modulation and extracting the first-order sideband generated by self-phase modulation (SPM) in a nonlinear medium. The light with stabilized intensity is then sent through a sensor and the sensor induced power variation is magnified by first inducing a sinusoidal intensity modulation, then undergoing SPM, and finally extracting a higher-order sideband. The advantage of the proposed stabilization-magnification (SM) sensing scheme is experimentally demonstrated by applying a damped vibration on an intensity-based fiber sensor and comparing the minimum detectable strain value of the proposed scheme with that of a conventional sensing scheme. Experimental results demonstrate minimum detectable strain improvement by a factor of 3.93. This new SM sensing scheme allows for the detection of perturbations originally too weak to be detected by a given intensity-based fiber sensor, which will be beneficial for a variety of applications such as high frequency ultra-sound detection.
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http://dx.doi.org/10.1364/OE.441217 | DOI Listing |
Radiol Imaging Cancer
January 2025
From the Department of Radiology (A.C., A.N.Y., R.E., C.H., G.L., M.M., E.B.J., A.L.C., B.G., G.S.K., A.O.), Sanford J. Grossman Center of Excellence in Prostate Imaging and Image Guided Therapy (A.C., A.N.Y., M.M., A.L.C., B.G.), Department of Surgery, Section of Urology (G.G., L.F.R., P.K.M., S.E.), Department of Pathology (T.A.), and Department of Public Health Sciences (M.G.), University of Chicago, 5841 S Maryland Ave, MC 2026, Chicago, IL 60637.
Purpose To evaluate the use of an automated hybrid multidimensional MRI (HM-MRI)-based tool to prospectively identify prostate cancer targets before MRI/US fusion biopsy in comparison with Prostate Imaging and Reporting Data System (PI-RADS)-based multiparametric MRI (mpMRI) evaluation by expert radiologists. Materials and Methods In this prospective clinical trial (ClinicalTrials.gov registration no.
View Article and Find Full Text PDFFront Pharmacol
January 2025
Instituto de Farmacia, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile.
This research was designed to investigate the metabolite profiling, phenolics content, and the trypanocidal, nematicidal, antibacterial, antifungal, and free radical scavenging properties of Motyka. The air-dried material was extracted successively with dichloromethane and methanol (UlMeOH). Two phases were obtained from the extract with dichloromethane, one soluble in methanol (UlDCM-s) and the other insoluble (UlDCM-i).
View Article and Find Full Text PDFFoodborne Pathog Dis
January 2025
Department of Chemistry & Biochemistry, Faculty of Medicine & Pharmacy, Ibn Zohr University, Laayoune, Morocco.
Food safety is a critical issue in the 21st century due to antibiotic-resistant bacteria causing harmful foodborne diseases. This comprehensive study meticulously examined the presence of bacterial isolates, quinolone residue, and antimicrobial resistance genes in samples of broiler and fish meat. Forty samples were collected from various locations in the Faisalabad metropolis.
View Article and Find Full Text PDFJ Ovarian Res
January 2025
LongHua Hospital Shanghai University of Traditional Chinese Medicine, No.725 Wanping South Road, Xuhui District, Shanghai, 200032, China.
Objective: To systematically evaluate the effectiveness of non-pharmacological interventions (NPIs), including electroacupuncture, exercise, diet, and lifestyle changes, in reducing androgen levels in women with polycystic ovary syndrome (PCOS) through a systematic review and network meta-analysis.
Methods: Comprehensive searches were conducted in PubMed, Embase, Cochrane Library, Web of Science, CNKI, and Wanfang up to June 2024. Randomized controlled trials (RCTs) comparing NPIs with other NPIs or placebo treatments in adult women with PCOS were included.
Sci Rep
January 2025
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal.
Technological advancements have allowed the detection of increasingly complex forensic genetics samples, as minimum amounts of DNA can now be detected in crime scenes or other settings of interest. The weight of the evidence depends on several parameters regarding the population and sample-related analytical factors, the latter in a greater number when the DNA amount is considered. This led to the development of probabilistic genotyping software (PGS), able to deal with the associated complexities.
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