Ghost imaging system requires a large number of samples to reconstruct the object. Computational ghost can use well-designed pre-modulated orthogonal patterns reduce requirement sampling and increase quality, while rotating ground glass (RGG) scheme cannot. Instead pre-modulation method, post-processing method using Gram-Schmidt process orthonormalize in RGG is introduced. Reconstructed image after (SGI) are tested quality indicators such as Contrast-to-Noise (CNR), Peak Signal Noise Ratio...

In this Letter, the surface-enhanced Raman scattering (SERS) signal of early breast cancer (BRC) patient serum is obtained by a composite silver nanoparticles (Ag NPs) PSi Bragg reflector SERS substrate. Based on these advantages, signals 30 normal people and BRC patients were detected After baseline correction experimental data, principal component analysis linear discriminant used to complete data processing. The results showed that diagnostic accuracy, specificity, sensitivity Ag NPs...

Abstract Early and accurate diagnosis of cystic echinococcosis (CE) with existing technologies is still challenging. Herein, we proposed a novel strategy based on the combination label‐free serum surface‐enhanced Raman scattering (SERS) spectroscopy machine learning for rapid non‐invasive early‐stage CE. Specifically, by establishing early‐ middle‐stage mouse models, corresponding CE‐infected normal control samples were collected, silver nanoparticles (AgNPs) utilized as substrate to obtain...

Diabetic foot ulcers (DFUs) are characterized by dynamic wound microbiome, the timely and accurate identification of pathogens in clinic is required to initiate precise individualized treatment. Metagenomic next-generation sequencing (mNGS) has been a useful supplement routine culture method for etiological diagnosis DFUs. In this study, we utilized mNGS analyze same DFU samples results were compared. Forty from patients with DFUs at tertiary medical center South China collected,...

A high-precision joint time and radio frequency (RF) transfer scheme based on coherent demodulation is demonstrated. one-pulse-per-second (1 PPS) signal an RF signal, transmitted at the same wavelength over a fiber link, are coherently demodulated receiver. Coherent then achieved using Michelson interferometer (MI), with balanced detection employed to enhance signal-to-noise ratio (SNR) of signals. An differential delay 1042 ps precisely designed through microwave phase discrimination...

The analytical vectorial structure of HGB is investigated in the far field based on vector plane wave spectrum and method stationary phase. energy flux distributions far-field, which composed TE term TM term, are demonstrated. physics pictures illustrated from structure, important to understand theoretical aspects both scalar propagation.

Early detection of cervical lesions, accurate diagnosis and timely effective therapy can effectively avoid the occurrence cancer or improve survival rate patients. In this paper, spectra tissue sections inflammation (n = 60), CIN (cervical intraepithelial neoplasia) I 30), II III squamous cell carcinoma adenocarcinoma 30) were collected by a confocal Raman micro-spectrometer (LabRAM HR Evolution, Horiba France SAS, Villeneuve d'Ascq, France). The six kinds tissues analyzed, dominant peaks...

Imaging through single multimode fiber prevails its counterpart using mode bundle on spatial resolution limit and minimum radius. Current imaging suffers from fussy calibration, which can be reduced by recent developed compressive sensing scheme [ [L. V. Amitonova, Opt. Lett. 43, 5427 (2018)]. Experiments demonstrate improvement depth of field more than three orders magnitude, together with robustness against macro bending, is vital to endoscopic applications.

In this study, we investigated the feasibility of using surface-enhanced Raman spectroscopy (SERS) combined with a support vector machine (SVM) algorithm to discriminate hysteromyoma and cervical cancer from healthy volunteers rapidly. SERS spectra serum samples were recorded 30 patients, 36 patients as well subjects. SVM was used establish classification models, three types kernel functions, namely linear, polynomial, Gaussian radial basis function (RBF), utilized for comparison. When...

Ductal carcinoma in situ (DCIS) and breast cancer are common female diseases pose a serious health threat to women. Early diagnosis of DCIS can help develop targeted treatment plans time. In this paper, we investigated the feasibility using Raman spectroscopy combined with convolutional neural network (CNN) discriminate between healthy volunteers, patients. spectra were collected from sera 241 463 100 patients, total 804 recorded. The pre-processed used as input CNN establish model classify...

Sunlight background noise significantly hinders the operation of ghost imaging systems, posing a considerable challenge for target under daytime sunlight conditions. This paper introduces method to eliminate using Faraday anomalous dispersion optical filter (FADOF). A system based on FADOF is constructed, and experiments are conducted strong The operates outdoors in direct sunlight, utilizing introduction introduce light into detection path, directly reaching end system. In this real...

When the sampling data of ghost imaging are recorded with less bits, i.e., experiencing quantization, a decline in image quality is observed. The fewer bits that used, worse one gets. Dithering, which adds suitable random noise to raw before proved be capable compensating effectively, even for extreme binary case. A brief explanation and parameter optimization dithering given.

Ghost imaging reconstructs the image based on second-order correlation of repeatedly measured light fields. When observed object is moving, consecutive sampling procedure leads to a motion blur in reconstructed images. To overcome this defect, we propose novel method ghost obtain information moving with small number measurements, which could be regarded as relatively static. Our exploits idea compressive sensing for superior reconstruction, combining low-order moments images directly extract...

Fiber bend is a major challenge of multimode fiber (MMF) imaging. More robustness against demonstrated in compressive MMF imaging using mean speckle patterns captured at multiple potential bending configurations beforehand, rather than sticking to single initial configuration. Experiments demonstrate an overall quality improvement on recovered images previous work, which important for robust endoscopic application.