An advanced random phase-shifting algorithm to extract phase distributions from randomly phase-shifted interferograms is proposed. The algorithm is based on a least-squares iterative procedure, but it copes with the limitation of the existing iterative algorithms by separating a frame-to-frame iteration from a pixel-to-pixel iteration. The algorithm provides stable convergence and accurate phase extraction with as few as three interferograms, even when the phase shifts are completely random. The algorithm is simple, fast, and fully automatic. A computer simulation is conducted to prove the concept.
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http://dx.doi.org/10.1364/ol.29.001671 | DOI Listing |
Microsc Res Tech
January 2025
AIDA Lab. College of Computer and Information Sciences (CCIS), Prince Sultan University, Riyadh, Saudi Arabia.
The development of deep learning algorithms has transformed medical image analysis, especially in brain tumor recognition. This research introduces a robust automatic microbrain tumor identification method utilizing the VGG16 deep learning model. Microscopy magnetic resonance imaging (MMRI) scans extract detailed features, providing multi-modal insights.
View Article and Find Full Text PDFAnal Methods
November 2017
College of Environmental and Chemical Engineering, Nanchang Hangkong University, Nanchang 330063, China.
A novel method was established using a restricted access material combined with a molecularly imprinted polymer (RAM-MIP) as the sorbent material in solid phase extraction (SPE) for clean-up of α-endosulfan, β-endosulfan, endosulfate, endosulfan-ether, endosulfan lactone, heptachlor, heptachlor--epoxide, and heptachlor--epoxide in pork and gas chromatography (GC) for determination. The RAM-MIP was prepared by precipitation polymerization by using endosulfan as the template, methacrylic acid (MAA) as the monomer, glycidyl methacrylate (GMA) as the pro-hydrophilic co-monomer, ethylene glycol dimethacrylate (EGDMA) as the crosslinker, azobisisobutyronitrile (AIBN) as the initiator, and toluene as the porogen. Ultraviolet spectroscopy (UV) and H-nuclear magnetic resonance (H-NMR) analysis verified that MAA interacted specifically with endosulfan in a ratio of 1 : 1 in the pre-polymerization solution.
View Article and Find Full Text PDFBMC Complement Med Ther
January 2025
Department of Health Information Technology, Abadan University of Medical Sciences, Abadan, Iran.
Background: Currently, there is no agreed-upon data collection tool for comprehensively structured documentation of Iranian traditional medicine (ITM) from the information management perspective. As ITM practice varies significantly from current medicine in diagnosis and treatment approaches, it is not appropriate to use data platforms or information systems developed for current medicine. Consequently, the collected data are non-comparable, reducing the verdicts' generalization.
View Article and Find Full Text PDFBMC Oral Health
January 2025
Maxillofacial Surgery and Diagnostic Science, College of Dentistry, Qassim University, Buraydah, Saudi Arabia.
Background: In dentistry, local anesthetic is frequently used to manage pain throughout several phases of dental treatments, including tooth extraction. The study aimed to compare the effectiveness of two techniques for controlling pain during mandibular exodontia (tooth extraction), specifically focusing on the pain experienced during injection and extraction of mandibular anterior and premolars teeth. The two techniques being compared are the intraligamentary injection technique (ILI) and the incisive nerve block technique (INB).
View Article and Find Full Text PDFSci Rep
January 2025
Botany and Microbiology Department, Faculty of Science, Damietta University, New Damietta, 34517, Egypt.
Ganoderma mushrooms have a variety of pharmacological activities and may have antitumor effects. Therefore, the antitumor activity of the methanolic fruiting body extracts of three Ganoderma spp. will be evaluated by estimating cell viability, cell cycle parameters and the mode of cellular death.
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