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In this study, a wide-angle auxiliary fill lamp (WAFL) intended to assist the built-in flashlight of smartphone cameras had been proposed in simulations and measurements. The WAFL generates a donut-shaped light pattern that perfectly combines with the light pattern produced by a pre-improved smartphone flashlight (SF). The improved SF provides a broader and more uniform light energy distribution, so as to effectively solve the problem of insufficient SF illumination range. In addition, an image processing method which uses the known illumination distribution of the SF to simply calibrate the luminance of the image and enhance its uniformity, is also proposed in this study. According to the experimental results, uniformity and the signal-to-noise ratio of an image taken with a camera using the improved SF are better than those taken with a camera using only the SF.
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http://dx.doi.org/10.1364/OE.545522 | DOI Listing |
In this study, a wide-angle auxiliary fill lamp (WAFL) intended to assist the built-in flashlight of smartphone cameras had been proposed in simulations and measurements. The WAFL generates a donut-shaped light pattern that perfectly combines with the light pattern produced by a pre-improved smartphone flashlight (SF). The improved SF provides a broader and more uniform light energy distribution, so as to effectively solve the problem of insufficient SF illumination range.
View Article and Find Full Text PDFNanoscale
November 2024
Department of Physics, University of Aveiro, 3810-193 Aveiro, Portugal.
Luminescence thermometry presents precise remote temperature measurement capabilities but faces significant challenges in real-world applications, primarily stemming from the calibration's susceptibility to environmental factors. External factors can compromise accuracy, necessitating resilient measurement protocols to ensure dependable temperature (T) readings across various settings. We explore a novel three-dimensional (3D) approach based on time-gated (t) luminescence thermometric parameters, (,), employing physical mixtures of surface-engineered carbon dots (CDs) based on dibenzoylmethane and rhodamine B.
View Article and Find Full Text PDFOphthalmol Sci
May 2024
Electrical Department, AmirKabir University of Technology (Tehran Polytechnique), Tehran, Iran.
Purpose: This study aims to develop and assess an infrastructure using Python-based deep learning code for future diagnostic and management purposes related to dry eye disease (DED) utilizing smartphone images.
Design: Cross-sectional study using data which was gathered in Vision Health Research Clinic.
Participants: One thousand twenty-one eye images from 734 patients were included in this article that categorizes into 70% females and 30% males, with no sex and age limit.
Microsc Res Tech
July 2024
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
The outbreak of COVID-19 exposed the inadequacy of our technical tools for home health surveillance, and recent studies have shown the potential of smartphones as a universal optical microscopic imaging platform for such applications. However, most of them use laboratory-grade optomechanical components and transmitted illuminations to ensure focus tuning capability and imaging quality, which keeps the cost of the equipment high. Here, we propose an ultra-low-cost solution for smartphone microscopy.
View Article and Find Full Text PDFAnal Chim Acta
October 2023
Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, PR China. Electronic address:
Photoelectrochemical (PEC) immunoassay has been widely developed for biomarker detection, but most include heavy and expensive instruments that are not suited for portable and on-site detection. In this work, the PEC immunoassay platform for mobile phones was reported for flexible, rapid, low-cost detection of carcinoembryonic antigen (CEA). The PEC detection platform was successfully composed of disposable screen-printed carbon electrodes, a micro-electrochemical workstation, a flashlight (the excitation light source), and a smartphone with a companion software with a micro-electrochemical workstation for rapid and on-site detection of target biomarkers.
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