18 research outputs found

    Investigation of optically trapped lanthanide ions doped nanoparticles

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    University of Technology Sydney. Faculty of Science.Nanoscale optical force probe for optical tweezers provides a new non-contact force-sensing technology with a high spatial resolution, one that is to break the limitations in conventional methods. The developing of optical trapping nanosensor can map out interactive information in the nanoscale region in water. However, the low refractive index from functional nanoparticles results in a reduced magnitude of the scattering field, which complicated its optical force measurement, hindering the application of optical trapping on these particles. Here, applying machine learning involved video tracking analysis on the optically trapped nanoparticle, we achieved the 3D optical trapping force measurement for nanoparticles with refractive index 1.5. Applying optical astigmatism modification, we achieved nanoscale 3D localizing of optically trapped upconversion nanoparticles (UCNPs) and thus the construction of 3D force. This work offers a unique solution to investigate the optical manipulation of low refractive index nanoparticles, also enables high resolution sensing for a range of environment variations. Based on the video tracking technology, we found that it applies a resonance effect that enhances the permittivity and polarizability of nanocrystals, leading to enhanced optical trapping forces by orders of magnitude. This effectively bypasses the requirement of refractive index mismatch at the nanoscale. The result shows that under resonance conditions, highly doped lanthanide ions in NaYF4 nanocrystals makes the real part of the Clausius-Mossotti factor approaches its asymptotic limit. Besides, we further use machine learning technology to analysing the point spread function of nanoparticles, to predict the size of the trapped luminescent nanoparticles in the water environment

    Dual-mode adaptive-SVD ghost imaging

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    In this paper, we present a dual-mode adaptive singular value decomposition ghost imaging (A-SVD GI), which can be easily switched between the modes of imaging and edge detection. It can adaptively localize the foreground pixels via a threshold selection method. Then only the foreground region is illuminated by the singular value decomposition (SVD) - based patterns, consequently retrieving high-quality images with fewer sampling ratios. By changing the selecting range of foreground pixels, the A-SVD GI can be switched to the mode of edge detection to directly reveal the edge of objects, without needing the original image. We investigate the performance of these two modes through both numerical simulations and experiments. We also develop a single-round scheme to halve measurement numbers in experiments, instead of separately illuminating positive and negative patterns in traditional methods. The binarized SVD patterns, generated by the spatial dithering method, are modulated by a digital micromirror device (DMD) to speed up the data acquisition. This dual-mode A-SVD GI can be applied in various applications, such as remote sensing or target recognition, and could be further extended for multi-modality functional imaging/detection

    Quantitative and dark field ghost imaging with ultraviolet light

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    Ultraviolet (UV) imaging enables a diverse array of applications, such as material composition analysis, biological fluorescence imaging, and detecting defects in semiconductor manufacturing. However, scientific-grade UV cameras with high quantum efficiency are expensive and include a complex thermoelectric cooling system. Here, we demonstrate a UV computational ghost imaging (UV-CGI) method to provide a cost-effective UV imaging and detection strategy. By applying spatial-temporal illumination patterns and using a 325 nm laser source, a single-pixel detector is enough to reconstruct the images of objects. To demonstrate its capability for quantitative detection, we use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample. Furthermore, we demonstrate dark field UV-CGI in both transmission and reflection schemes. By only collecting the scattered light from objects, we can detect the edges of pure phase objects and small scratches on a compact disc. Our results showcase a feasible low-cost solution for non-destructive UV imaging and detection. By combining it with other imaging techniques, such as hyperspectral imaging or time-resolved imaging, a compact and versatile UV computational imaging platform may be realized for future applications.Comment: 9 pages, 5 figure

    Single-molecule RNA capture-assisted droplet digital loop-mediated isothermal amplification for ultrasensitive and rapid detection of infectious pathogens

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    Abstract To minimize and control the transmission of infectious diseases, a sensitive, accurate, rapid, and robust assay strategy for application on-site screening is critical. Here, we report single-molecule RNA capture-assisted digital RT-LAMP (SCADL) for point-of-care testing of infectious diseases. Target RNA was captured and enriched by specific capture probes and oligonucleotide probes conjugated to magnetic beads, replacing laborious RNA extraction. Droplet generation, amplification, and the recording of results are all integrated on a microfluidic chip. In assaying commercial standard samples, quantitative results precisely corresponded to the actual concentration of samples. This method provides a limit of detection of 10 copies mL−1 for the N gene within 1 h, greatly reducing the need for skilled personnel and precision instruments. The ultrasensitivity, specificity, portability, rapidity and user-friendliness make SCADL a competitive candidate for the on-site screening of infectious diseases
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