Uniform polypyrrole (PPy) nanoparticles are fabricated from a facile one-step aqueous dispersion polymerization. Owing to their high photothermal conversion efficiency and photostability compared with the well-known Au nanorods, as well good colloidal stability biocompatibility, resulting PPy can used novel promising ablation coupling agent for targeted treatment of cancer. As service our authors readers, this journal provides supporting information supplied by authors. Such materials peer...

Successful development of safe and effective nanoprobes for tumor targeting selective therapy is a challenging task. Although gold nanorods(GNRs) have the potential to perform such role, toxicity surfactant cetyltrimethylammonium bromides (CTAB) on their surfaces limits applications. Here, polyamidoamine dendrimer was applied replace CTAB molecules surface nanorods. When resultant dendrimer-modified nanorods conjugated with arginine-glycine-aspartic acid (RGD) peptides, they showed highly...

Abstract A novel multifunctional drug‐delivery platform is developed based on cholesteryl succinyl silane (CSS) nanomicelles loaded with doxorubicin, Fe 3 O 4 magnetic nanoparticles, and gold nanoshells (CDF‐Au‐shell nanomicelles) to combine resonance (MR) imaging, magnetic‐targeted drug delivery, light‐triggered release, photothermal therapy. The show improved drug‐encapsulation efficiency loading level, a good response fields, even after the formation of nanoshell. An enhancement for T 2...

Rational design and construction of electrocatalytic nanomaterials is vital for improving the sensitivity selectivity nonenzymatic electrochemical sensors. Here, we report a novel graphene supported intermetallic PtPb nanoplates (PtPb/G) nanocomposite as an enhanced sensing platform high-sensitivity detection H2O2 in neutral solution also released from cells. The are first synthesized via simple wet-chemistry process subsequently assembled on solution-phase self-assembly approach. obtained...

Medical imaging denoising faces great challenges, yet is in demand. With its distinctive characteristics, medical the image domain requires innovative deep learning strategies. In this study, we propose a simple effective strategy, content-noise complementary (CNCL) which two predictors are used to learn respective content and noise of dataset complementarily. A pipeline based on CNCL strategy presented, implemented as generative adversarial network, where various representative networks...

Indocyanine green-loaded mesoporous silica-coated gold nanorods (ICG-loaded Au@SiO2) were prepared for the dual capability of X-ray computed tomography (CT) and fluorescence imaging. CT scanning showed that ICG-loaded Au@SiO2 could provide significant contrast enhancement; Near-infrared generated by nanomaterial was present up to 12 h post intratumoral injection, thus enabling be used as a promising mode imaging agent. Multiplexed images can more easily obtained with this novel type...

This article reports a facile synthesis of radiolabeled PdCu@Au core-shell tripods for use in positron emission tomography (PET) and image-guided photothermal cancer treatment by directly incorporating radioactive (64)Cu atoms into the crystal lattice. The tripod had unique morphology determined PdCu that served as template coating Au shell, addition to well-controlled specific activity physical dimensions. shell provided nanostructure with strong absorption near-infrared region effectively...

Optical coherence tomography (OCT) is susceptible to the coherent noise, which speckle noise that deteriorates contrast and detail structural information of OCT images, thus imposing significant limitations on diagnostic capability OCT. In this paper, we propose a novel image denoising method by using an end-to-end deep learning network with perceptually-sensitive loss function. The has been validated images acquired from healthy volunteers' eyes. label for training evaluating models are...

Highly ordered silver sulfide nanorods conjugated with the Bovine Serum Albumin (BSA) protein have been successfully achieved at ambient temperature. Such a process is very simple and controllable, directly using nitrate thioacetamide (TAA) as reactants in aqueous solution of BSA. The products characterized by XRD, HRTEM-SAED, SEM-EDS, TG-DTA, FT-IR, CD spectroscopy. results research show that as-prepared Ag2S are monodispersed sizes about 40 nm diameter 220 length, exhibit high degree...

Axial excitation confinement beyond the diffraction limit is crucial to development of next-generation, super-resolution microscopy. STimulated Emission Depletion (STED) nanoscopy offers lateral using a donut-beam depletion, but its axial resolution still over 500 nm. Total internal reflection fluorescence microscopy widely used for single-molecule localization, ability detect molecules limited within evanescent field ~100 nm from cell attachment surface. We find here that thickness point...

Medical datasets, especially medical images, are often imbalanced due to the different incidences of various diseases. To address this problem, many methods have been proposed synthesize images using generative adversarial networks (GANs) enlarge training datasets for facilitating image analysis. For instance, conventional such as image-to-image translation techniques used fundus with their respective vessel trees in field image.In order improve quality and details synthetic three key...

H2O2 sensors with high sensitivity and selectivity are essential for monitoring the normal activities of cells. Inorganic catalytic nanomaterials show obvious advantage in boosting sensors; however, detection limit reported inorganic catalysts is still limited, which not suitable high-sensitivity real Herein, novel atomic-thick PtNi nanowires (NWs) were synthesized assembled on reduced graphene oxide (rGO) via an ultrasonic self-assembly method to attain NWs/rGO composite electroanalysis...

Abstract Background and Objective Many lasers have claimed the clinical efficacy on skin rejuvenation. In this study, mechanisms of laser induced collagen remodeling were explored systematically a Kunming (KM) mouse model in vivo by comparing different non‐ablative effects using four treatment modalities. Materials Methods The dorsal KM mice was exposed depilation before treatments. Four modalities used: 595‐nm pulsed dye (PDL) (10 ms), 1,320‐nm neodymium–yttrium–aluminum garnet (Nd:YAG)...

Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Meanwhile, deep learning has achieved rapid development in image-to-image translation tasks. Some studies have proposed applying models to OCTA reconstruction and obtained preliminary results. However, current are mostly limited few specific neural networks. In this paper, we conducted comparative study investigate using models. Four representative network architectures including...

Optical coherence tomography (OCT) is a widely-used modality in clinical imaging, which suffers from the speckle noise inevitably. Deep learning has proven its superior capability OCT image denoising, while difficulty of acquiring large number well-registered pairs limits developments paired methods. To solve this problem, some unpaired methods have been proposed, where denoising networks can be trained with data. However, majority them are modified cycleGAN framework. These cycleGAN-based...

Weakly supervised object localization (WSOL) relaxes the requirement of dense annotations for by using image-level annotation to supervise learning process. However, most WSOL methods only focus on forcing classifier produce high activation score parts without considering influence background locations, causing excessive activations and ill-pose searching. Based this point, our work proposes a novel mechanism called background-aware classification map (B-CAM) add awareness training. Besides...

This article provides an up-to-date review on the applications of natural polymers, i.e., proteins, as materials for tissue engineering. Proteins are one important candidates engineering based their superior biocompatibility, biodegradation, bioresorbability, and so on. However, inferior mechanical properties limit broad application. Currently-available proteins application in or drug delivery systems, such fibrin, collagen, zein, silk fibroin, keratin, casein albumin, biodegradation...

In this report, a Ti:Sapphire oscillator was utilized to realize synchronization-free stimulated emission depletion (STED) microscopy. With pump power of 4.6 W and sample irradiance 310 mW, we achieved super-resolution as high 71 nm. STED, imaged 200 nm nanospheres well all three cytoskeletal elements (microtubules, intermediate filaments, actin filaments), clearly demonstrating the resolving STED over conventional diffraction limited imaging. It also allowed us discover that, Dylight 650,...

To improve the quality of prosthetic vision, it is important to understand how retinal neurons respond electric stimulation. Previous studies present conflicting reports as maximum rate at which ganglion cells can “follow” pulse trains, i.e., generate one spike for each train. In study, we measured response 5 different types rabbit trains 100–700 Hz. Surprisingly, found significant heterogeneity in ability follow trains. For example, brisk transient (BT) could reliably rates up 600 pulses...

We proposed a dual focus channel spectral domain optical coherence tomography (SD-OCT) for simultaneous imaging of the whole eye segments from cornea to retina. By using channels system solved problem limited depth SD-OCT. light focusing on anterior segment and Dual was achieved by adjusting collimating lenses so divergence two probing beams tuned make them focused at different in eye. further full range complex (FRC) SD-OCT one increase imaging. The successfully tested human vivo.

Optical coherence tomography angiography (OCTA) is a relatively new imaging modality that generates microvasculature map. Meanwhile, deep learning has been recently attracting considerable attention in image-to-image translation, such as image denoising, super-resolution and prediction. In this paper, we propose based pipeline for OCTA. This consists of three parts: training data preparation, model OCTA predicting using the trained model. To be mentioned, datasets used work were...

Optical coherence tomography (OCT) imaging shows a significant potential in clinical routines due to its noninvasive property. However, the quality of OCT images is generally limited by inherent speckle noise and low sampling rate. To obtain high signal-to-noise ratio (SNR) high-resolution (HR) within short scanning time, we presented learning-based method recover high-quality from noisy low-resolution images. We proposed semisupervised learning approach named N2NSR-OCT, generate denoised...

A novel integration of retinal multispectral imaging (MSI), oximetry and laser speckle contrast (LSCI) is presented for functional blood vessels that could potentially allow early detection or monitoring changes. We designed built a cost-effective, scalable, instrument integrates structural techniques, including MSI, LSCI. Color fundus was performed with 470 nm, 550 nm 600 wavelength light emitting diode (LED) illumination. Retinal using LED LSCI flow 850 illumination at 82 frames per...