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- 2015
- Xanthomonas oryzae
- multispectral and multimodal microscopy
- spectroscopic imaging
- plant cell diseases
- classification
- rice
- Applied Physics
- University of Sciences, Technique and Technology Bamako
- Institut National Polytechnique Felix Houphou?t-Boigny Yamoussoukro
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Data from multimodal functions based on an array of photovoltaic modules and an approximation with artificial neural networks as a scenario for testing optimization algorithms
摘要： This paper presents the data of multimodal functions that emulate the performance of an array of five photovoltaic modules under partial shading conditions. These functions were obtained through the PeV curves of a mathematical modeling and represent photovoltaic module with several local maximums and a global maximum. In addition, data from a feedforward neural network are shown, which represent an approximation of the multimodal functions that were obtained with mathematical modeling. The modeling of multimodal functions, the architecture of the neural network and the use of the data were discussed in our previous work entitled “Search for Global Maxima in Multimodal Functions by Applying Numerical Optimization Algorithms: A Comparison Between Golden Section and Simulated Annealing” [1]. Data were obtained through simulations in a C code, which were exported to DAT files and subsequently organized into four Excel tables. Each table shows the voltage and power data for the five modules of the photovoltaic array, for multimodal functions and for the approximation of the multimodal functions implemented by the artificial neural network. In this way, a dataset that can be used to evaluate the performance of optimization algorithms and system identification techniques applied in multimodal functions was obtained.
关键词： Multimodal functions,Photovoltaic modules,Artificial neural networks,Partial shading,Optimization algorithms
更新于2025-09-11 14:15:04
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Surgical excision combined with fully ablative carbon dioxide laser therapy and triamcinolone injections as a potential treatment for keloids in children
摘要： Background/objective: Keloids represent a functional and esthetic burden and can be particularly challenging to treat. Various topical, injectable, and ablative therapies exist but are associated with significant recurrence if used alone. We wanted to evaluate the long-term efficacy of multimodal therapy in pediatric patients treated for keloids at the Sainte-Justine University Hospital Center. Methods: We conducted a retrospective case study of 21 children with 21 keloids treated between April 2006 and April 2016. The following combination of treatments was studied: surgical excision, carbon dioxide (CO2) laser therapy on the surgical site, and triamcinolone acetonide (TAC) intralesional injections during surgery and follow-up. Depending on the site treated, pressure garments and/or topical silicone were also used. Results: Of the 21 patients initially treated, four were lost to follow-up. Of the 17 patients who had adequate follow-up (mean duration 18 months, with periodic reassessments and additional TAC injections if needed), 6 (35%) had some recurrence, with remission in three of them following subsequent treatment and three lost to follow-up. In summary, 14 (82.4%) of the patients with adequate follow-up had complete clearance of the keloid. However, this must be interpreted in light of the fact there was a significant loss of follow-up (33.3%) from the initial cohort. Conclusion: Our results are in agreement with other recent studies that demonstrate the need for multimodal therapy with combined methods in order to achieve long-term remission. A randomized controlled trial would be necessary to assess the real benefit of this treatment combination in children.
关键词： scar,multimodal therapy,keloid,CO2 laser,corticosteroid injection,surgery
更新于2025-09-11 14:15:04
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Cu-Fe-Se Ternary Nanosheet-Based Drug Delivery Carrier for Multimodal Imaging and Combined Chemo-photothermal Therapy of Cancer
摘要： Ternary transition-metal chalcogenide nanosheets have shown great potential in diverse applications owing to their intrinsically amazing properties with broad tunable window. Direct preparation of water-soluble and biocompatible ternary chalcogenide nanosheets for theranostic application remains a challenge. In this article, we prepared Cu-Fe-Se nanosheets (CFS NSs) in an aqueous solution under ambient conditions by sequential coprecipitation method. They were functionalized with anticancer drug doxorubin (CFS@DOX) through electrostatic interactions, and labeled with radioactive isotope 99mTc through surface coordination effect. The resulting nanosheets have a size of 70 nm and a thickness of 5 nm, and can be well dispersed in water, PBS, 10% FBS, and 0.9% NaCl with an excellent colloidal stability. They also exhibit a high photothermal conversion efficiency of 78.9% for in vitro and in vivo photoacoustic imaging and photothermal therapy. The isotope-labelled nanosheets (99mTc-CFS NSs) were used for single photon emission computed tomography/computed tomography (SPECT/CT) imaging, and quantification of their blood circulation time (~4.7 h) and biodistributions in major organs, which follow an order of liver > bladder > lung > spleen > heart > kidney. The DOX functionalized nanosheets (CFS@DOX) were used for chemotherapy of cancer and exhibited excellent anti-cancer efficacy. Our research shows the great promise of ternary metal chalcogenide nanosheets for combined imaging and therapy of cancer.
关键词： radiolabeling,2D ternary nanosheets,transition metal chalcogenides,multimodal imaging,chemotherapy,photothermal therapy
更新于2025-09-11 14:15:04
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EXPRESS: Two-Dimensional Correlation Spectroscopy (2D-COS) for Analysis of Spatially Resolved Vibrational Spectra
摘要： The last two decades have seen tremendous progress in the application of two-dimensional correlation spectroscopy (2D-COS) as a versatile analysis method for data series obtained by a large variety of different spectroscopic modalities, including infrared (IR) and Raman spectroscopy. The analysis technique is applicable to a series of spectra recorded under the influence of an external sample perturbation. 2D-COS analysis is not only helpful to decipher correlations which may exist between distinct spectral features, but can be utilized also to obtain the sequence of individual spectral changes. The focus of this review article is on the application of 2D-COS for analyzing spatially resolved data with special emphasis on hyperspectral imaging (HSI) study. In this review, we briefly introduce the fundamentals of the generalized 2D-COS analysis approach, discuss specific points of 2D-COS application to spatially resolved spectra and demonstrate essential aspects of data pre-processing for 2D-COS analysis of spatially resolved spectra. Based on illustrative examples we show that 2D-COS is useful for spectral band assignment in HSI applications and demonstrate its utility for detecting subtle correlations between spectra features, or between features from different imaging modalities in the case of heterospectral (multimodal) HSI. Furthermore, a short overview on existing 2D-COS software tools is provided. It is hoped that this article represents not only a useful guideline for 2D-COS analyses of spatially resolved hyperspectral data but supports also further dissemination of the 2D-COS analysis method as a whole.
关键词： Spatially Resolved Vibrational Microspectroscopy,Multimodal Imaging,Two-Dimensional Correlation Spectroscopy (2D-COS),Hyperspectral Imaging
更新于2025-09-10 09:29:36
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Multimodal medical imaging repository and information system in epilepsy surgery
摘要： Surgery is an option for patients with drug-resistant epilepsy, but it requires a comprehensive assessment. Electroencephalography (EEG), magnetic resonance imaging (MRI), and functional MRI (fMRI) are used to localize the epileptogenic zone, which directly affects the surgery outcome. Accessing EEG, MRI, and fMRI results and patient information simultaneously using traditional methods might result in misinformation and increase the workload of clinicians. In this study, we developed a modern web-based repository system for the preoperative evaluation of epilepsy disorder, including multimodal medical images and patient information. Our dedicated system is enriched with clinical metadata that are not currently available and is managed with an online application. It overcomes the identified problem and minimizes possible medical errors. In conclusion, this system has the potential to accelerate surgical procedures, get reliable results, and improve the seizure outcome. It is an extensive solution for epilepsy hospitals and clinical research centers. It may serve as a standard template for archiving multiple imaging techniques.
关键词： epilepsy surgery,Health information management,information system,multimodal medical imaging,electronic health records
更新于2025-09-10 09:29:36
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[IEEE 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Chongqing (2018.6.27-2018.6.29)] 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC) - Multimodal Biometric Verification Using Sparse Representation Based Classification
摘要： In this paper, we propose a multimodal verification system integrating face and ear based on sparse representation-based classification (SRC). The face and ear query samples are first encoded respectively to derive sparsity-based match scores, and which are then combined with the Sum-rule for verification. Our contribution is two-fold: (1) use two sparsity-based metrics and two biometric traits to demonstrate superior performance of SRC-based verification to the well-known multimodal fusion methods using cosine similarity like likelihood ratio (LLR), support vector machine (SVM), and the Sum-rule; (2) empirically analyze the weakness and feasibility of SRC-based verification and validate the correlation between its performance and the inter-class separability of samples in dictionary. The SRC-based one-to-many comparison is not preferable to the biometrics or scenarios where inferior inter-class separability is available. This could be a selection guideline of SRC for verification applications.
关键词： sparsity-based metric,face and ear,multimodal verification,sparse representation
更新于2025-09-10 09:29:36
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Hybrid Nanostructures for Cancer Theranostics || Hybrid Nanostructures for In Vivo Imaging
摘要： Nanohybrids with well-defined optical properties and integrated functionalities are considered to be the most advanced next-generation blend of therapeutics and diagnostics: a simultaneous “theranostics”. Targeted delivery, real-time monitoring of administration, distribution, biotransformation, and elimination from the body are some of the beneficial attributes which have enabled it to get wide attention and acceptability. A spectrum of new-generation hybrid nanosystems for future biomedical applications has been fabricated, and has a variety of applications towards in vivo optical imaging, ultrasound (US) imaging, computed tomography (CT) of X-rays, magnetic resonance imaging (MRI), and positron emission tomography (PET). Multifunctional nanoparticles containing multiple contrast agents not only allow multimodal imaging but also improve the resolution of each of these imaging modalities. This chapter provides one of the most comprehensive detailed reports on the development of nanohybrids for cancer imaging to date.
关键词： Cancer imaging,Multimodal imaging,Theranostics,Contrast agents,Nanohybrids
更新于2025-09-10 09:29:36
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Infrared and Visible Image Registration Based on Scale-Invariant PIIFD Feature and Locality Preserving Matching
摘要： Registration of multi-sensor data is a prerequisite for multimodal image analysis such as image fusion. This study focuses on the problem of infrared and visible image registration, which has played an important role for the purpose of enhancing visual perception. Existing methods based on multimodal feature descriptor such as partial intensity invariant feature descriptor (PIIFD) usually fail in correctly aligning infrared and visible image pairs, due to their signi?cant differences in resolution and appearance. In this paper, we propose a scale-invariant PIIFD (SI-PIIFD) feature and a robust feature matching method to address this problem. Speci?cally, we ?rst extract corner points as control point candidates since they are usually suf?cient and uniformly distributed across the image domain. Then, the SI-PIIFDs are calculated for all corner points and matched according to the descriptor similarity together with a locality preserving geometric constraint. Subsequently, we model the spatial transformation between an infrared and visible image pair with an af?ne function, and introduce a robust Bayesian framework to estimate it from the SI-PIIFD feature matches even if they contaminated by false matches. Finally, the backward approach is chosen for image transformation to avoid holes and overlaps in the output image. Extensive experiments on a challenging dataset with comparisons to other state-of-the-arts demonstrate the effectiveness of the proposed method, both in terms of accuracy and ef?ciency.
关键词： robust estimation,feature matching,image registration,Infrared,multimodal descriptor
更新于2025-09-10 09:29:36
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Bandgap Engineered Polypyrrole-Polydopamine Hybrid with Intrinsic Raman and Photoacoustic Imaging Contrasts
摘要： Intrinsically multimodal nanomaterials have revealed their great potential as a new class of contrast agents. We herein report a bandgap engineering strategy to develop an intrinsically Raman-photoacoustic (PA) active probe that is based on semiconducting conjugated polymers. This dual modal probe is prepared by doping a semiconducting conjugated polymer with polydopamine (PDA) through a one-pot reaction. When applied in the polypyrrole (PPy), this strategy can enhance Raman scattering and the PA amplitude of PPy-PDA hybrid by 3.2 and 2.4 times, respectively, so that both signals can be further applied in bioimaging. In the hybrid, such a dual-enhancement effect is achieved by infusing these two macromolecules at the nanoscale to reduce the optical bandgap energy. This work not only introduces a dual modal contrast agent but also provides a new method of manipulating semiconducting polymer’s inherent optical features for bioimaging.
关键词： intrinsically multimodal nanomaterials,semiconducting polymers,polydopamine,intermolecular electron transfer
更新于2025-09-10 09:29:36
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Deep Generative Matching Network for Optical and SAR Image Registration
摘要： Multimodal remote sensing images contain complementary information, thus, could potentially benefit many remote sensing applications. To this end, the image registration is a common requirement for utilizing the multimodal images. However, due to the rather different imaging mechanisms, multimodal image registration becomes much more challenging than ordinary registration, particular for optical and synthetic aperture radar (SAR) images. In this work, we design a deep matching network to exploit the latent and coherent features between multimodal patch pairs for inferring their matching labels. But, the network requires immense data for training, which is not usually met. To address this issue, we propose a generative matching network (GMN) to generate the coupled optical and SAR images, hence, improve the quantity and diversity of the training data. The experimental results show that our proposal significantly improves the registration performance of optical and SAR image registration, and achieves subpixel or close to subpixel error.
关键词： multimodal images,generative adversarial network,optical and SAR,deep matching network,image registration
更新于2025-09-09 09:28:46