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- 2019
- 2018
- infrared image
- target detection
- lucas–kanade method (LK)
- local contrast method (LCM)
- facet model
- target detection
- zero-crossing point
- Image processing
- Infrared camera
- Eye movement
- Optoelectronic Information Science and Engineering
- Chinese Academy of Sciences
- Gunma University
- University of Chinese Academy of Science
- Xi’an Institute of Optics and Precision Mechanics Chinese Academy of Science
- University of Science and Technology of China
- Space Star Technology Co. LTD
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NIR-Fluorescent Multidye Silica Nanoparticles with Large Stokes Shifts for Versatile Biosensing Applications
摘要： We have synthesized and characterized of a series of single and multidye copolymerized nanoparticles with large to very large Stokes shifts (100 to 255 nm) for versatile applications as standalone or multiplexed probes in biological matrices. Nanoparticles were prepared via the St?ber method and covalently copolymerized with various combinations of three dyes, including one novel aminocyanine dye. Covalently encapsulated dyes exhibited no significant leakage from the nanoparticle matrix after more than 200 days of storage in ethanol. Across multiple batches of nanoparticles with varying dye content, the average yields and average radii were found to be highly reproducible. Furthermore, the batch to batch variability in the relative amounts of dye incorporated was small (relative standard deviations <2.3%). Quantum yields of dye copolymerized nanoparticles were increased 50% to 1000% relative to those of their respective dye-silane conjugates, and fluorescence intensities were enhanced by approximately three orders of magnitude. Prepared nanoparticles were surface modified with polyethylene glycol and biotin and bound to streptavidin microspheres as a proof of concept. Under single wavelength excitation, microsphere-bound nanoparticles displayed readily distinguishable fluorescence signals at three different emission wavelengths, indicating their potential applications to multicolor sensing. Furthermore, nanoparticles modified with polyethylene glycol and biotin demonstrated hematoprotective qualities and reduced nonspecific binding of serum proteins, indicating their potential suitability to in vivo imaging applications.
关键词： Fluorescent silica nanoparticles,Biocompatible nanoparticles,Large stokes shift,Near-infrared fluorescence,Multicolor assay,Resonance energy transfer
更新于2025-09-23 15:23:52
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Optical Imaging of Triple-Negative Breast Cancer Cells in Xenograft Athymic Mice Using an ICAM-1-Targeting Small-Molecule Probe
摘要： Purpose: The development of early, accurate diagnostic strategies for triple-negative breast cancer (TNBC) remains a significant challenge. Intercellular adhesion molecule-1 (ICAM-1) overexpressed in human TNBC cells is a potential molecular target and biomarker for diagnosis. In this study, small-molecule probe (denoted as γ3-Cy5.5) constructed with a short 17-mer linear peptide (γ3) and near-infrared fluorescence (NIRF) dye cyanine 5.5 (Cy5.5) was used to detect the expression of ICAM-1 in vitro and in vivo, and to diagnose TNBC via NIRF imaging. Procedures: Western blotting and flow cytometric analysis were used for the detection of ICAM-1 expression in MDA-MB-231 and MCF-7 cells. The cytotoxicity of the small-molecule probe γ3-Cy5.5 was detected using the CCK8 assay. The in vitro targeting of the small-molecule probe γ3-Cy5.5 was verified via flow cytometry and a laser scanning confocal microscope. Finally, the targeting of small-molecule probe in vivo and ex vivo was observed by NIRF imaging. Results: Western blotting and flow cytometry demonstrate that ICAM-1 was highly expressed in the MDA-MB-231 TNBC cell line. Laser confocal microscopy and flow cytometry results show that TNBC cells have an increased cellular uptake of γ3-Cy5.5 compared to the control probe γ3S-Cy5.5. With in vivo NIRF, a significantly higher Cy5.5 signal appeared in the tumors of mice administered γ3-Cy5.5 than those treated with γ3S-Cy5.5. The target-to-background ratio observed on the NIRF images was significantly higher in the γ3-Cy5.5 group (10.2, 13.6) compared with the γ3S-Cy5.5 group (4.4, 4.0) at 1 and 2 h, respectively. Conclusions: This is the first report of the use of ICAM-1-specific small-molecule probe for in vivo NIRF optical imaging of TNBC. This method provides a noninvasive and specific strategy for the early diagnosis of TNBC.
关键词： Triple-negative breast cancer,Near-infrared fluorescence imaging,Small-molecule probe,ICAM-1
更新于2025-09-23 15:23:52
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Eficacia y seguridad de la ciclofotocoagulación transescleral con micropulsos en el tratamiento del glaucoma
摘要： Objective: To report the results using Micropulse? transscleral cyclophotocoagulation (Iridex) in the treatment of glaucoma. Methods: Retrospective study in adult patients with glaucoma with at least 6 months of follow-up, and only one session of Micropulse?. The same surgical technique was used in all cases. The only laser parameter that could vary was the total treatment duration (in seconds). The remaining parameters were fixed at 2 Watts of power and 0.5 ms (31.3%) of active cycle. Results: A total of 22 eyes of 17 patients with glaucoma of various types and stages were included (mainly congenital and pseudoexfoliation). The mean follow-up time was 7.9 months. The total treatment duration varied from 100 to 180 seconds. Definition of success: 5 mmHg < Intraocular pressure (IOP) < 21 mm Hg and a reduction of ≥ 20% of the baseline value and no addition of oral carbonic anhydrase inhibitors, and no re-operation. The overall success rate was 72.7% in the first month, 54% at 4 months, 41% at 6 months, and 27.3% at final follow-up. Patients with longer treatment durations (180s) achieved better results. The mean reduction in IOP in successful eyes was 36% (from 26.3 to 16.7 mm Hg, SD 4.58, P = .028). No complications were reported. Conclusions: In a heterogeneous population of glaucoma (mostly congenital and pseudoexfoliation types), a low success rate (27.3%) was obtained in the medium-term with a single session of Micropulse?.
关键词： Infrared diode laser,Glaucoma,Micropulse?,Cyclophotocoagulation
更新于2025-09-23 15:23:52
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Near-Infrared-Light Activatable Nanoparticles for Deep-Tissue-Penetrating Wireless Optogenetics
摘要： Optogenetics has been developed to control the activities and functions of cells with high spatiotemporal resolution, cell-type specificity, and flexibility. However, current optogenetic tools generally rely on visible light (e.g., blue or yellow) with shallow tissue penetration ability that does require invasive fiber-optic probes to deliver visible light into organs and animal tissues. This often results in a series of side effects, such as tissue damage and unwanted inflammation. Fortunately, the emerging wireless optogenetic tools that can respond to deep-tissue-penetrating near-infrared (NIR) light have attracted increasing attention due to their much-reduced damage to living organisms. There are mainly two types of NIR-activatable optogenetic tools: one uses lanthanide-doped upconversion nanoparticles to transduce NIR light to visible light to modulate classical opsin-expressing neurons; the other type couples with an NIR absorber to convert NIR light to heat to activate thermosensitive proteins. These NIR-activatable optogenetic tools enable low-invasive 'remote control' activation and inhibition of cellular signaling pathways. This approach has great potential to help create more innovative therapies for diseases like cancer, diabetes, and neuronal disorders in the near future. Therefore, this review article summarizes the recent advances on design strategies and synthetic methods of NIR-activatable nanomaterials for wireless optogenetic applications.
关键词： nanomaterials,near infrared,optogenetics,photothermal,upconversion
更新于2025-09-23 15:23:52
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Bismuth Sulfide Nanorods with Retractable Zinc Protoporphyrin Molecules for Suppressing Innate Antioxidant Defense System and Strengthening Phototherapeutic Effects
摘要： Bismuth (Bi)-based nanomaterials (NMs) are widely used for computed tomography (CT) imaging guided photothermal therapy, however, the photodynamic property is hardly exhibited by these NMs due to the fast electron–hole recombination within their narrow bandgap. Herein, a sophisticated nanosystem is designed to endow bismuth sulfide (Bi2S3) nanorods (NRs) with potent photodynamic property. Zinc protoporphyrin IX (ZP) is linked to Bi2S3 NRs through a thermoresponsive polymer to form BPZP nanosystems. The stretching ZP could prebind to the active site of heme oxygenase-1 overexpressed in cancer cells, suppressing the cellular antioxidant defense capability. Upon NIR laser irradiation, the heat released from Bi2S3 NRs could retract the polymer and drive ZP to the proximity of Bi2S3 NRs, facilitating an efficient electron–hole separation in ZP and Bi2S3 NRs, and leading to reactive oxygen species generation. In vitro and in vivo studies demonstrate the promising photodynamic property of BPZP, together with their photothermal and CT imaging performance.
关键词： photodynamic therapy,heme oxygenase-1,bismuth sulfide,near-infrared,zinc protoporphyrin IX
更新于2025-09-23 15:23:52
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Prediction model optimization using full model selection with regression trees demonstrated with FTIR data from bovine milk
摘要： Predictive modeling is the development of a model that is best able to predict an outcome based on given input variables. Model algorithms are different processes that are used to define functions that transform the data within models. Common algorithms include logistic regression (LR), linear discriminant analysis (LDA), classification and regression trees (CART), na?ve Bayes (NB), and k-nearest neighbor (KNN). Data preprocessing option, such as feature extraction and reduction, and model algorithms are commonly selected empirically in epidemiological studies even though these decisions can significantly affect model performance. Accordingly, full model selection (FMS) methods were developed to provide a systematic approach to select predictive modeling methods; however, current limitations of FMS, such as its dependency on user-selected hyperparameters, have prevented their routine incorporation into analyses for model performance optimization. Here we present the use of regression trees as an innovative method to apply FMS. Regression tree FMS (rtFMS) requires the development of a model for every combination of predictive modeling method options under consideration. The iterated, cross-validation performances of these models are then passed through a regression tree for selection of a final model. We demonstrate the benefits of rtFMS using a milk Fourier transform infrared spectroscopy dataset, wherein we build prediction models for two blood metabolic health parameters in dairy cows, nonesterified fatty acids (NEFA) and β-hydroxybutyrate acid (BHBA). The goal for building NEFA and BHBA prediction models is to provide a milk-based screening tool for metabolic health in dairy cattle that can be incorporated automatically in milk analysis routines. These models could be used in conjunction with physical exams, cow side tests, and other indications to initiate medical intervention. In contrast to previously reported FMS methods, rtFMS is not a black box, is simple to implement and interpret, it does not have hyperparameters, and it illustrates the relative importance of modeling options. Additionally, rtFMS allows for indirect comparisons among models developed using different datasets. Finally, rtFMS eliminates user bias due to personal preference for certain methods and rtFMS removes the dependency on published comparisons of methods. Thus, rtFMS provides clear benefits over the empirical selection of data preprocessing options and model algorithms.
关键词： Prediction model,Fourier-transform infrared spectra,Regression tree,Preprocessing,Full model selection
更新于2025-09-23 15:23:52
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Near-Infrared fluorescence chemosensor based on isothiocyanate-aza-BODIPY for cyanide detection in ppb level: Applications in buffer media and living cell imaging
摘要： A near-infrared chemodosimeter based on an aza-BODIPY dye was designed and synthesized. The sensor contains isothiocyanate groups for cyanide ion sensing. The sensing function was illustrated via the fluorescence changes in near-infrared frequencies as well as chromogenic change which could be easily visualized with a detection limit of 19 ppb. The sensor provides high selectivity to CN? and discriminates other anions such as CH3COO?, HPO4 2?, HSO4 ?, NO3 ?, Cl?, F?, Br?, I?, ClO3 ?, CO3 2?, SO4 2?, and phenylalanine (Phe) in 50% PBS buffer/acetonitrile at physiological pH. The potential of the sensor for CN? detection in both aqueous buffer solutions and living cells imaging were demonstrated.
关键词： selectivity,cyanide,sensors,aza-BODIPY dyes,near-infrared fluorescence
更新于2025-09-23 15:23:52
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Nondestructive Detection of Postharvest Quality of Cherry Tomatoes Using a Portable NIR Spectrometer and Chemometric Algorithms
摘要： The aim of this study was to assess the applicability of a portable NIR spectroscopy system and chemometric algorithms in intelligently detecting postharvest quality of cherry tomatoes. The postharvest quality of cherry tomatoes was evaluated in terms of firmness, soluble solids content (SSC), and pH, and a portable NIR spectrometer (950–1650 nm) was used to obtain the spectra of cherry tomatoes. Partial least square (PLS), support vector machine (SVM), and extreme learning machine (ELM) were applied to predict the postharvest quality of cherry tomatoes from their spectra. The effects of different preprocessing techniques, including Savitzky–Golay (S-G), multiplicative scattering correction (MSC), and standard normal variate (SNV) on prediction performance were also evaluated. Firmness, SSC and pH values of cherry tomatoes decreased during storage period, based on which the tomato samples could be classified into two distinct clusters. Similarly, cherry tomatoes with different storage time could also be separated by the NIR spectroscopic characteristics. The best prediction accuracy was obtained from ELM algorithms using the raw spectra with Rp2, RMSEP, and RPD values of 0.9666, 0.3141 N, and 5.6118 for firmness; 0.9179, 0.1485%, and 3.6249 for SSC; and 0.8519, 0.0164, and 2.7407 for pH, respectively. Excellent predictions for firmness and SSC (RPD value greater than 3.0), good prediction for pH (RPD value between 2.5 and 3.0) were obtained using ELM model. NIR spectroscopy is capable of intelligently detecting postharvest quality of cherry tomatoes during storage.
关键词： Partial least square,Extreme learning machine,Support vector machine,Cherry tomato,Near infrared spectroscopy
更新于2025-09-23 15:23:52
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Infrared Image Reconstruction Based on Archimedes Spiral Measurement Matrix
摘要： It is a new research direction to realize infrared (IR) image reconstruction using compressed sensing (CS) theory. In the field of CS, the construction of measurement matrix is very principal. At present, the types of measurement matrices are mainly random and deterministic. The random measurement matrix can well satisfy the property of measurement matrix, but needs a large amount of storage space and has an inconvenient in hardware implementation. Therefore, a deterministic measurement matrix construction method is proposed for IR image reconstruction in this paper. Firstly, a series of points are collected on Archimedes spiral to construct a definite sequence; then the initial measurement matrix is constructed; finally, the deterministic measurement matrix is obtained according to the required sampling rate. Simulation results show that the IR image could be reconstructed by the measured values obtained through the proposed measurement matrix. Moreover, the proposed measurement matrix has better reconstruction performance compared with the Gaussian and Bernoulli random measurement matrices.
关键词： deterministic measurement matrices,compressed sensing (CS),infrared image reconstruction
更新于2025-09-23 15:23:52
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NIR-Responsive Copolymer Upconversion Nanocomposites for Triggered Drug Release in Vitro and in Vivo
摘要： Light has several advantages as the stimulus for triggered drug release. Currently, the applications of phototriggered drug-release devices (PDDs) are largely limited by two factors: the limited tissue penetration and detrimental effects caused by excitation light (ultraviolet or visible light). To address this disadvantage, this study developed nanocomposites based on upconversion nanoparticles (UC), which could convert near-infrared light to ultraviolet-visible light and trigger drug release. By loading UC and doxorubicin (DOX) into photo-responsive copolymer PEG-NMAB-PLA (PNP), near-infrared responsive copolymer upconversion nanocomposites (PNP-DOX-UC) was constructed. We proved that PNP-DOX-UC showed the fast release and strong cytotoxicity under near infrared irradiation in vitro. The therapeutic efficacy study indicated that PNP-DOX-UC+hv had the enhanced antitumor efficiency. In the study, UC becoming an internal ultraviolet-visible light source for near infrared excitation developes an applicable and efficient approach to meet the requirements for UV/Vis excitation, which is a major disadvantage in photosensitive materials developed for pharmaceutical and biomedical applications.
关键词： Near-infrared light,Photo-responsive,Nanocomposites,Copolymer,Triggered drug release,Upconversion Nanoparticle
更新于2025-09-23 15:23:52