U.S. flag

An official website of the United States government

PubAg

Main content area

You searched for: Subject "image analysis" Remove constraint Subject: "image analysis"
Start Over

Search

41,719  Search Results

« Previous | 1 - 20 of 41,719 |
Number of results to display per page

Search Results

1. Imaging extracelluar vesicles by transmission electron microscopy: Coping with technical hurdles and morphological interpretation

Author:
Pascucci, L.; Scattini, G.
Source:
Biochimica et biophysica acta 2021 v.1865 no.4 pp. 129648
ISSN:
0304-4165
Subject:
image analysis,   etc   ; therapeutics; transmission electron microscopy; ultrastructure;     Show all 4 Subjects
Abstract:
... Extracellular vesicles (EVs) are cell-derived nanometric particles governing the complex interactions among cells through their bioactive cargo. Interest in EVs is rapidly increasing due to their extensive involvement in physiological and pathological conditions, their potential employment as diagnostic and therapeutic tools and their prospective use as bio-carriers of exogenous molecules. Given t ...
DOI:
10.1016/j.bbagen.2020.129648

2. Polyaniline nano-needles into electrospun bio active fibres support in vitro astrocyte response

Author:
Saracino, Emanuela; Zuppolini, Simona; Guarino, Vincenzo; Benfenati, Valentina; Borriello, Anna; Zamboni, Roberto; Ambrosio, Luigi
Source:
RSC advances 2021 v.11 no.19 pp. 11347-11355
ISSN:
2046-2069
Subject:
image analysis,   etc   ; adhesion; astrocytes; gelatin; nanofibers; polyaniline;     Show all 6 Subjects
Abstract:
... Recent studies have proposed that the bioelectrical response of glial cells, called astrocytes, currently represents a key target for neuroregenerative purposes. Here, we propose the fabrication of electrospun nanofibres containing gelatin and polyaniline (PANi) synthesized in the form of nano-needles (PnNs) as electrically conductive scaffolds to support the growth and functionalities of primary ...
DOI:
10.1039/d1ra00596k

3. Modelling of mineral construction and demolition waste dynamics through a combination of geospatial and image analysis

Author:
Bogoviku, Lorenc; Waldmann, Danièle
Source:
Journal of environmental management 2021 v.282 pp. 111879
ISSN:
0301-4797
Subject:
image analysis,   etc   ; circular economy; topography; wastes; Luxembourg;     Show all 5 Subjects
Abstract:
... As the construction sector is shifting towards circular economy models, the role of mineral construction materials as main waste fraction in terms of volumes is crucial. A characterization of this mineral stock, as well as the waste derived from it is decisive in ensuring the application of the best practices of circular economy. This paper describes a methodology for assessing the mineral buildin ...
DOI:
10.1016/j.jenvman.2020.111879

4. Anti-cross validation technique for constructing and boosting random subspace neural network ensembles for hyperspectral image classification

Author:
Eeti, Laxmi Narayana; Buddhiraju, Krishna Mohan
Source:
Geocarto international 2021 v.36 no.6 pp. 676-697
ISSN:
1752-0762
Subject:
image analysis,   etc   ; data collection; hyperspectral imagery;     Show all 3 Subjects
Abstract:
... Achieving high classification accuracy is vital in reliable information extraction from images. Single classifiers and existing ensemble methods suffer from data dimensionality, insufficient ground truth information and lack in defining optimal feature selection. This article presents a novel idea for constructing component classifiers that boost random subspace ensemble method in improving its cl ...
DOI:
10.1080/10106049.2019.1618926

5. Effect of horizontal projection's vertical location on the characteristics of externally venting flames

Author:
Kolaitis, Dionysios I.; Kontis, Christos; Tsichlas, Christoforos
Source:
Fire safety journal 2021 v.120 pp. 103138
ISSN:
0379-7112
Subject:
image analysis,   etc   ; computer software; fire testing; prediction;     Show all 4 Subjects
Abstract:
... The effect of the vertical position of horizontal projections on the thermal and flow characteristics of Externally Venting Flames (EVF) was investigated by using a ¼ scale compartment-façade experimental setup to perform five fire tests. A constant 144 kW fire power level was used in all fire tests; the fire source was a methane-fed porous burner, located at the geometrical centre of the compartm ...
DOI:
10.1016/j.firesaf.2020.103138

6. An affect-based classification of emotions associated with images of food

Author:
Tahir, Yusra; Rahman, Anis Ur; Ravana, Sri Devi
Source:
Journal of food measurement & characterization 2021 v.15 no.1 pp. 519-530
ISSN:
2193-4126
Subject:
image analysis,   etc   ; data collection; measurement; models;     Show all 4 Subjects
Abstract:
... Food and emotions are correlated. Recent research on the relationship between foods and emotions mainly focused on identifying emotions when viewing food images. The studies try to find image attributes that evoke food-related emotions. We concentrate on affective image classification and investigate the performance of different features in a food-related emotion classification framework. First, w ...
DOI:
10.1007/s11694-020-00650-7

7. Visualized heterooligomeric subunit structures of 817 human cellular proteins by correlating native protein 2D maps with protein interaction databases

Author:
Jin, Ya; Manabe, Takashi
Source:
Journal of chromatography 2021 v.1163 pp. 122509
ISSN:
1570-0232
Subject:
image analysis,   etc   ; databases; humans; smooth muscle;     Show all 4 Subjects
Abstract:
... Previously, we have reported on the reconstruction of 4323 native protein 2D maps of human bronchial smooth muscle cells (HBSMC) by combining nondenaturing 2DE, grid gel-cutting, and quantitative LC-MS/MS. In this work, we report on the visualization of the heterooligomeric subunit structures of HBSMC proteins by correlating the native protein 2D maps with the information in protein interaction da ...
DOI:
10.1016/j.jchromb.2020.122509

8. A new highly selective fluorescence probe for the imaging of endogenous formaldehyde in living cells

Author:
Gu, Lei; Tang, Yonghe; Lin, Weiying
Source:
Tetrahedron 2021 v.78 pp. 131808
ISSN:
0040-4020
Subject:
image analysis,   etc   ; cells; fluorescent dyes; formaldehyde; hydrazine;     Show all 5 Subjects
Abstract:
... A new turn-on fluorescent probe, named as NaFP was structured with hydrazine group as a recognition site for detecting formaldehyde (FA) in living cells. The probe NaFP has large turn-on signal and high selectivity for FA. In addition, the results of cell imaging experiments indicate that NaFP could image exogenous/endogenous FA in living cells. ...
DOI:
10.1016/j.tet.2020.131808

9. Tumor-responsive dynamic nanoassemblies for targeted imaging, therapy and microenvironment manipulation

Author:
Low, Liang Ee; Wu, Jiahe; Lee, Jiyoung; Tey, Beng Ti; Goh, Bey-Hing; Gao, Jianqing; Li, Fangyuan; Ling, Daishun
Source:
Journal of controlled release 2020 v.324 pp. 69-103
ISSN:
0168-3659
Subject:
image analysis,   etc   ; neoplasms; therapeutics;     Show all 3 Subjects
Abstract:
... The recent designs of dynamic nanoassemblies exploiting the tumor-targeting properties have received increasing attention for tumor imaging and therapy due to their tumor-specific delivery and enhanced antitumor efficacy. However, these designs are mainly focused on the macroscopic tumor therapeutic effect, while the nano-bio interactions in the tumor microenvironment (TME) remain poorly understoo ...
DOI:
10.1016/j.jconrel.2020.05.014

10. 2D Waveguided Bessel Beam Generated Using Integrated Metasurface-Based Plasmonic Axicon

Author:
Fan, Yulong; Cluzel, Benoît; Petit, Marlène; Le Roux, Xavier; Lupu, Anatole; de Lustrac, Andre
Source:
ACS applied materials & interfaces 2020 v.12 no.18 pp. 21114-21119
ISSN:
1944-8252
Subject:
image analysis,   etc   ; engineering; silicon;     Show all 3 Subjects
Abstract:
... Near-field imaging of the propagation of a diffraction-free Bessel-type beam in a guided wave configuration generated by means of a metasurface-based axicon lens integrated on a silicon waveguide is reported. The operation of the axicon lens with a footprint as small as 11 μm² is based on local engineering of the effective index of the silicon waveguide with plasmonic nanoresonators. This generic ...
DOI:
10.1021/acsami.0c03420

11. Single-Virus Tracking: From Imaging Methodologies to Virological Applications

Author:
Liu, Shu-Lin; Wang, Zhi-Gang; Xie, Hai-Yan; Liu, An-An; Lamb, Don C.; Pang, Dai-Wen
Source:
Chemical reviews 2020 v.120 no.3 pp. 1936-1979
ISSN:
1520-6890
Subject:
image analysis,   etc   ; fluorescence; viruses;     Show all 3 Subjects
Abstract:
... Uncovering the mechanisms of virus infection and assembly is crucial for preventing the spread of viruses and treating viral disease. The technique of single-virus tracking (SVT), also known as single-virus tracing, allows one to follow individual viruses at different parts of their life cycle and thereby provides dynamic insights into fundamental processes of viruses occurring in live cells. SVT ...
DOI:
10.1021/acs.chemrev.9b00692
PubMed:
31951121
PubMed Central:
PMC7075663

12. Graphs based methods for simultaneous smoothing and sharpening

Author:
Pérez-Benito, Cristina; Jordán, Cristina; Conejero, J. Alberto; Morillas, Samuel
Source:
MethodsX 2020 v.7 pp. 100819
ISSN:
2215-0161
Subject:
image analysis,   etc   ; color; graphs;     Show all 3 Subjects
Abstract:
... We present two new methods for simultaneous smoothing and sharpening of color images: the GMS³ (Graph Method for Simultaneous Smoothing and Sharpening) and the NGMS³(Normalized Graph-Method for Simultaneous Smoothing and Sharpening). They are based on analyzing the structure of local graphs computed at every pixel using their respective neighbors. On the one hand, we define a kernel-based filter f ...
DOI:
10.1016/j.mex.2020.100819
PubMed:
32195137
PubMed Central:
PMC7078387

13. Object-based classification of vegetation species in a subtropical wetland using Sentinel-1 and Sentinel-2A images

Author:
Ruiz, Luis Fernando Chimelo; Guasselli, Laurindo Antonio; Simioni, João Paulo Delapasse; Belloli, Tássia Fraga; Barros Fernandes, Pâmela Caroline
Source:
Science of remote sensing 2021 v.3 pp. 100017
ISSN:
2666-0172
Subject:
image analysis,   etc   ; satellites; synthetic aperture radar; vegetation; wetlands;     Show all 5 Subjects
Abstract:
... The classification of vegetation species is a fundamental technical task, necessary for the sustainable management of wetland ecosystems. GEographic-Object-Based Image Analysis (GEOBIA) and data mining have enabled classification and monitoring of wetlands with higher accuracies and lower costs. The objective of this study is to evaluate the performance of Random Forest (RF) and k-Nearest Neighbor ...
DOI:
10.1016/j.srs.2021.100017

14. Development of fish spatio-temporal identifying technology using SegNet in aquaculture net cages

Author:
Abe, S.; Takagi, T.; Torisawa, S.; Abe, K.; Habe, H.; Iguchi, N.; Takehara, K.; Masuma, S.; Yagi, H.; Yamaguchi, T.; Asaumi, S.
Source:
Aquacultural engineering 2021 v.93 pp. 102146
ISSN:
0144-8609
Subject:
image analysis,   etc   ; cages; farmed fish; fish communities; mariculture; mortality; velocimetry;     Show all 7 Subjects
Abstract:
... In marine aquaculture, fish populations constantly decrease throughout the cultivation period because of mortality and escape. Current production management systems provide limited opportunities to count the cultured fish, making it difficult to estimate accurately the fish population in the cage. To overcome this problem, an automatic fish identifying method based on particle tracking velocimetry ...
DOI:
10.1016/j.aquaeng.2021.102146

15. Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification

Author:
Shi, Hao; Cao, Guo; Ge, Zixian; Zhang, Youqiang; Fu, Peng
Source:
Remote Sensing 2021 v.13 no.7
ISSN:
2072-4292
Subject:
image analysis,   etc   ; classification; computer vision; hyperspectral imagery; models; paper; research;     Show all 7 Subjects
Abstract:
... Deep-learning methods, especially convolutional neural networks (CNN), have become the first choice for hyperspectral image (HSI) classification to date. It is a common procedure that small cubes are cropped from hyperspectral images and then fed into CNNs. However, standard CNNs find it difficult to extract discriminative spectral–spatial features. How to obtain finer spectral–spatial features to ...
DOI:
10.3390/rs13071403

16. Registration and Fusion of Close-Range Multimodal Wheat Images in Field Conditions

Author:
Dandrifosse, Sébastien; Carlier, Alexis; Dumont, Benjamin; Mercatoris, Benoît
Source:
Remote Sensing 2021 v.13 no.7
ISSN:
2072-4292
Subject:
image analysis,   etc   ; cameras; canopy; information; paper; phenotype; research; wheat;     Show all 8 Subjects
Abstract:
... Multimodal images fusion has the potential to enrich the information gathered by multi-sensor plant phenotyping platforms. Fusion of images from multiple sources is, however, hampered by the technical lock of image registration. The aim of this paper is to provide a solution to the registration and fusion of multimodal wheat images in field conditions and at close range. Eight registration methods ...
DOI:
10.3390/rs13071380

17. Non‐invasive setup for grape maturation classification using deep learning

Author:
Ramos, Rodrigo P; Gomes, Jéssica S; Prates, Ricardo M; Simas Filho, Eduardo F; Teruel, Barbara J; dos Santos Costa, Daniel
Source:
Journal of the science of food and agriculture 2021 v.101 no.5 pp. 2042-2051
ISSN:
0022-5142
Subject:
image analysis,   etc   ; agriculture; chemometrics; cultivars; fruits; taste; viticulture; wines; Brazil;     Show all 9 Subjects
Abstract:
... BACKGROUND: The San Francisco Valley region from Brazil is known worldwide for its fruit production and exportation, especially grapes and wines. The grapes have high quality not only due to the excellent morphological characteristics, but also to the pleasant taste of their fruits. Such features are obtained because of the climatic conditions present in the region. In addition to the favorable cl ...
DOI:
10.1002/jsfa.10824

18. Unsupervised Multistep Deformable Registration of Remote Sensing Imagery Based on Deep Learning

Author:
Papadomanolaki, Maria; Christodoulidis, Stergios; Karantzalos, Konstantinos; Vakalopoulou, Maria
Source:
Remote Sensing 2021 v.13 no.7
ISSN:
2072-4292
Subject:
image analysis,   etc   ; architecture; data collection; deformation; paper; remote sensing; Greece;     Show all 7 Subjects
Abstract:
... Image registration is among the most popular and important problems of remote sensing. In this paper we propose a fully unsupervised, deep learning based multistep deformable registration scheme for aligning pairs of satellite imagery. The presented method is based on the expression power of deep fully convolutional networks, regressing directly the spatial gradients of the deformation and employi ...
DOI:
10.3390/rs13071294

19. Wide Sliding Window and Subsampling Network for Hyperspectral Image Classification

Author:
Xi, Jiangbo; Ersoy, Okan K.; Fang, Jianwu; Cong, Ming; Wu, Tianjun; Zhao, Chaoying; Li, Zhenhong
Source:
Remote Sensing 2021 v.13 no.7
ISSN:
2072-4292
Subject:
image analysis,   etc   ; classification; data collection; hyperspectral imagery; paper;     Show all 5 Subjects
Abstract:
... Recently, deep learning methods, for example, convolutional neural networks (CNNs), have achieved high performance in hyperspectral image (HSI) classification. The limited training samples of HSI images make it hard to use deep learning methods with many layers and a large number of convolutional kernels as in large scale imagery tasks, and CNN-based methods usually need long training time. In thi ...
DOI:
10.3390/rs13071290

20. Hyperspectral Image Classification via Multi-Feature-Based Correlation Adaptive Representation

Author:
Liu, Guichi; Gao, Lei; Qi, Lin
Source:
Remote Sensing 2021 v.13 no.7
ISSN:
2072-4292
Subject:
image analysis,   etc   ; classification; correlation; hyperspectral imagery; information; models;     Show all 6 Subjects
Abstract:
... In recent years, representation-based methods have attracted more attention in the hyperspectral image (HSI) classification. Among them, sparse representation-based classifier (SRC) and collaborative representation-based classifier (CRC) are the two representative methods. However, SRC only focuses on sparsity but ignores the data correlation information. While CRC encourages grouping correlated v ...
DOI:
10.3390/rs13071253