Physical origin and boundary of scalable imaging through scattering media:a deep learning-based exploration

Imaging through scattering media is valuable for many areas,such as biomedicine and communication.Recent progress enabled by deep learning(DL)has shown superiority especially in the model generalization.However,there is a lack of research to physically reveal the origin or define the boundary for such model scalability,which is important for utilizing DL approaches for scalable imaging despite scattering with high confidence.In this paper,we find the amount of the ballistic light component in the output field is the prerequisite for endowing a DL model with generalization capability by using a“one-to-all”training strategy,which offers a physical meaning invariance among the multisource data.The findings are supported by both experimental and simulated tests in which the roles of scattered and ballistic components are revealed in contributing to the origin and physical boundary of the model scalability.Experimentally,the generalization performance of the network is enhanced by increasing the portion of ballistic photons in detection.The mechanism understanding and practical guidance by our research are beneficial for developing DL methods for descattering with high adaptivity.

SERS-based mercury ion detections:principles,strategies and recent advances

Mercury ion(Hg^(2+)),known as one of the highly toxic and soluble heavy metal ions,is causing serious environmental pollution and irreversible damage to the health.It is urgent to develop some rapid and ultrasensitive methods for detecting trace mercury ions in the environment especially drink water.Surface-enhanced Raman scattering(SERS)is considered as a novel and powerful optical analysis technique since it has the significant advantages of ultra-sensitivity and high specificity.In recent years,the SERS technique and its application in the detection of Hg^(2+)have become more prevalent and compelling.This review provides an overall survey of the development of SERS-based Hg^(2+)detections and presents a summary relating to the basic principles,detection strategies,recent advances and current challenges of SERS for Hg^(2+)detections.

Single-Step Organization of Plasmonic Gold Metamaterials with Self-Assembled DNA Nanostructures

Self-assembled DNA nanostructures hold great promise as nanoscale templates for organizing nanoparticles(NPs)with nearatomistic resolution.However,large-scale organization of NPs with high yield is highly desirable for nanoelectronics and nanophotonic applications.Here,we design fve-strand DNA tiles that can readily self-assemble into well-organized micrometerscale DNA nanostructures.By organizing gold nanoparticles(AuNPs)on these self-assembled DNA nanostructures,we realize the fabrication of one-and two-dimensional Au nanostructures in single steps.We further demonstrate the one-pot synthesis of Au metamaterials for highly amplifed surface-enhanced Raman Scattering(SERS).Tis single-step and high-yield strategy thus holds great potential for fabricating plasmonic metamaterials.

The exploration of quantum dot-molecular beacon based MoS_(2) fluorescence probing for myeloma-related Mirnas detection

Highly sensitive and reliable detection of multiple myeloma remains a major challenge in liquid biopsy. Herein, for the first time, quantum dot-molecular beacon (QD-MB) functionalized MoS_(2) (QD-MB @MoS_(2)) fluorescent probes were designed for the dual detection of multiple myeloma (MM)-related miRNA-155 and miRNA-150. The results indicate that the two probes can effectively detect miRNA-155 and miRNA-150 simultaneously with satisfactory recovery rates, and the limit of detections (LODs) of miRNA-155 and miRNA-150 in human serum are low to 7.19 fM and 5.84 fM, respectively. These results indicate that our method is the most sensitive detection so far reported and that the designed fluorescent probes with signal amplification strategies can achieve highly sensitive detection of MM-related miRNAs for MM diagnosis.