Cyclometalated iridium(iii) complexes as lysosome-targeted photodynamic anticancer and real-time tracking agents

We report the rational design and photodynamic anticancer mechanism studies of iridium(iii) complexes with pH-responsive singlet oxygen (1O2) production and lysosome-specific imaging properties.

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Fabrication of Small Multifunctional CuS Nanoclusters for Fluorescence Imaging and Chemo-Photothermal Therapy of Cancer

NANO ◽

10.1142/s1793292020501234 ◽

2020 ◽

Vol 15 (09) ◽

pp. 2050123

Author(s):

Yanqiu Zhao ◽

Yang Zou ◽

Xunxun Deng ◽

Hanwen Wang ◽

Shuo Wu

Keyword(s):

Hyaluronic Acid ◽

Real Time ◽

Tumor Cells ◽

Fluorescence Imaging ◽

Photothermal Therapy ◽

Colloid Stability ◽

Ph Responsive ◽

Ha Coating ◽

Promising Application ◽

Real Time Tracking

A multifunctional nanodrug, PAMAM@CuS-HA-RB/DOX, was prepared for the real time tracking and chemo-photothermal therapy of tumor cells. The CuS nanoclusters with diameter less than 10[Formula: see text]nm could be easily ingested by tumor cells and showed good colloid stability and high photothermal conversion efficiency. The hyaluronic acid (HA) coating and rhodamine B (RB) labeling endowed the nanocomposite with low cytotoxity and real time fluorescence imaging ability. In the acidic tumor microenvironment, the doxorubicin linked via the pH-responsive hydrazone bonds was released and worked synergistically with CuS to kill the tumor cells, which showed a high chemo-photothermal therapy capacity. All these properties indicated the PAMAM@CuS-HA-RB/DOX have promising application for the therapy of cancers and tracking of nanodrugs.

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An Overview of Data Aggregation Architecture for Real-Time Tracking with Sensor Networks

10.21236/ada446929 ◽

2006 ◽

Cited By ~ 8

Author(s):

Tian He ◽

Lin Gu ◽

Liqian Luo ◽

Ting Yan ◽

John A. Stankovic ◽

...

Keyword(s):

Sensor Networks ◽

Real Time ◽

Data Aggregation ◽

Real Time Tracking

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A Sequential Monte Carlo Method for Real-time Tracking of Multiple Targets

10.21236/ada532576 ◽

2010 ◽

Author(s):

Scott T. Acton ◽

Bing Li

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Real Time ◽

Sequential Monte Carlo ◽

Multiple Targets ◽

Sequential Monte Carlo Method ◽

Real Time Tracking

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Real-time observation of tetrapyrrole binding to an engineered bacterial phytochrome

Communications Chemistry ◽

10.1038/s42004-020-00437-3 ◽

2021 ◽

Vol 4 (1) ◽

Author(s):

Yusaku Hontani ◽

Mikhail Baloban ◽

Francisco Velazquez Escobar ◽

Swetta A. Jansen ◽

Daria M. Shcherbakova ◽

...

Keyword(s):

Real Time ◽

Rational Design ◽

Near Infrared ◽

Fluorescent Proteins ◽

Covalent Bond ◽

Binding Pocket ◽

Tissue Imaging ◽

Covalent Attachment ◽

Time Resolved

AbstractNear-infrared fluorescent proteins (NIR FPs) engineered from bacterial phytochromes are widely used for structural and functional deep-tissue imaging in vivo. To fluoresce, NIR FPs covalently bind a chromophore, such as biliverdin IXa tetrapyrrole. The efficiency of biliverdin binding directly affects the fluorescence properties, rendering understanding of its molecular mechanism of major importance. miRFP proteins constitute a family of bright monomeric NIR FPs that comprise a Per-ARNT-Sim (PAS) and cGMP-specific phosphodiesterases - Adenylyl cyclases - FhlA (GAF) domain. Here, we structurally analyze biliverdin binding to miRFPs in real time using time-resolved stimulated Raman spectroscopy and quantum mechanics/molecular mechanics (QM/MM) calculations. Biliverdin undergoes isomerization, localization to its binding pocket, and pyrrolenine nitrogen protonation in <1 min, followed by hydrogen bond rearrangement in ~2 min. The covalent attachment to a cysteine in the GAF domain was detected in 4.3 min and 19 min in miRFP670 and its C20A mutant, respectively. In miRFP670, a second C–S covalent bond formation to a cysteine in the PAS domain occurred in 14 min, providing a rigid tetrapyrrole structure with high brightness. Our findings provide insights for the rational design of NIR FPs and a novel method to assess cofactor binding to light-sensitive proteins.

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Enhancing spatial perception through sound: mapping human movements into MIDI

Multimedia Tools and Applications ◽

10.1007/s11042-021-11077-7 ◽

2021 ◽

Author(s):

Bernardo Breve ◽

Stefano Cirillo ◽

Mariano Cuofano ◽

Domenico Desiato

Keyword(s):

Real Time ◽

User Study ◽

Spatial Perception ◽

Human Movements ◽

Different Types ◽

Real Time Tracking ◽

People’S Perceptions ◽

Novel Algorithm

AbstractGestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes. To this end, new forms to express the people’s perceptions could help their interpretation, like in the case of music. In this paper, we investigate the user’s perception associated with the interpretation of sounds by highlighting how sounds can be exploited for helping users in adapting to a specific environment. We present a novel algorithm for mapping human movements into MIDI music. The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample based synthesizer using different types of filters to modulate frequencies. The system has been evaluated through a user study, in which several users have participated in a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.

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Real-time tracking lysosomal pH changes under heatstroke and redox stress with a novel near-infrared emissive probe

Talanta ◽

10.1016/j.talanta.2021.122184 ◽

2021 ◽

Vol 228 ◽

pp. 122184

Author(s):

Qingfeng Xia ◽

Shumin Feng ◽

Jiaxin Hong ◽

Guoqiang Feng

Keyword(s):

Real Time ◽

Near Infrared ◽

Redox Stress ◽

Lysosomal Ph ◽

Ph Changes ◽

Real Time Tracking ◽

Emissive Probe

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Unmanned aerial vehicle reconnaissance image recognition based on convolutional neural network

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-219086 ◽

2021 ◽

pp. 1-10

Author(s):

Lipeng Si ◽

Baolong Liu ◽

Yanfang Fu

Keyword(s):

Neural Network ◽

Real Time ◽

Image Recognition ◽

Error Detection ◽

Convolution Neural Network ◽

Data Sets ◽

Small Target ◽

Network Algorithm ◽

Neural Network Algorithm ◽

Real Time Tracking

The important strategic position of military UAVs and the wide application of civil UAVs in many fields, they all mark the arrival of the era of unmanned aerial vehicles. At present, in the field of image research, recognition and real-time tracking of specific objects in images has been a technology that many scholars continue to study in depth and need to be further tackled. Image recognition and real-time tracking technology has been widely used in UAV aerial photography. Through the analysis of convolution neural network algorithm and the comparison of image recognition technology, the convolution neural network algorithm is improved to improve the image recognition effect. In this paper, a target detection technique based on improved Faster R-CNN is proposed. The algorithm model is implemented and the classification accuracy is improved through Faster R-CNN network optimization. Aiming at the problem of small target error detection and scale difference in aerial data sets, this paper designs the network structure of RPN and the optimization scheme of related algorithms. The structure of Faster R-CNN is adjusted by improving the embedding of CNN and OHEM algorithm, the accuracy of small target and multitarget detection is improved as a whole. The experimental results show that: compared with LENET-5, the recognition accuracy of the proposed algorithm is significantly improved. And with the increase of the number of samples, the accuracy of this algorithm is 98.9%.

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