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Journal articles on the topic 'Biomedical labeling'

Author: Grafiati

Published: 7 September 2023

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1

Sabot, Cyrille, and Péter Kele. "Novel Approaches in Biomolecule Labeling." Biomolecules 11, no. 12 (December 2, 2021): 1809. http://dx.doi.org/10.3390/biom11121809.

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The selective functionalization of biomolecules such as proteins, nucleic acids, lipids or carbohydrates is a focus of persistent interest due to their widespread use, ranging from basic chemical biology research to gain insight into biological processes to the most promising biomedical applications, including the development of diagnostics or targeted therapies [...]

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2

Brown, Cedric, Jill Marion, and Anchal Kaushiva. "Medical Device Labeling." Journal of Clinical Engineering 41, no. 3 (2016): 134–36. http://dx.doi.org/10.1097/jce.0000000000000164.

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3

Heinrich, Kevin E., Michael W. Berry, and Ramin Homayouni. "Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature." Computational Intelligence and Neuroscience 2008 (2008): 1–12. http://dx.doi.org/10.1155/2008/276535.

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Identifying functional groups of genes is a challenging problem for biological applications. Text mining approaches can be used to build hierarchical clusters or trees from the information in the biological literature. In particular, the nonnegative matrix factorization (NMF) is examined as one approach to label hierarchical trees. A generic labeling algorithm as well as an evaluation technique is proposed, and the effects of different NMF parameters with regard to convergence and labeling accuracy are discussed. The primary goals of this study are to provide a qualitative assessment of the NMF and its various parameters and initialization, to provide an automated way to classify biomedical data, and to provide a method for evaluating labeled data assuming a static input tree. As a byproduct, a method for generatinggold standardtrees is proposed.

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4

Dahlmeier, D., and H. T. Ng. "Domain adaptation for semantic role labeling in the biomedical domain." Bioinformatics 26, no. 8 (February 23, 2010): 1098–104. http://dx.doi.org/10.1093/bioinformatics/btq075.

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5

Santosh, K. C., Laurent Wendling, Sameer Antani, and George R. Thoma. "Overlaid Arrow Detection for Labeling Regions of Interest in Biomedical Images." IEEE Intelligent Systems 31, no. 3 (May 2016): 66–75. http://dx.doi.org/10.1109/mis.2016.24.

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6

Mao, Chenyi, Min Yen Lee, Jing-Ru Jhan, Aaron R. Halpern, Marcus A. Woodworth, Adam K. Glaser, Tyler J. Chozinski, et al. "Feature-rich covalent stains for super-resolution and cleared tissue fluorescence microscopy." Science Advances 6, no. 22 (May 2020): eaba4542. http://dx.doi.org/10.1126/sciadv.aba4542.

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Fluorescence microscopy is a workhorse tool in biomedical imaging but often poses substantial challenges to practitioners in achieving bright or uniform labeling. In addition, while antibodies are effective specific labels, their reproducibility is often inconsistent, and they are difficult to use when staining thick specimens. We report the use of conventional, commercially available fluorescent dyes for rapid and intense covalent labeling of proteins and carbohydrates in super-resolution (expansion) microscopy and cleared tissue microscopy. This approach, which we refer to as Fluorescent Labeling of Abundant Reactive Entities (FLARE), produces simple and robust stains that are modern equivalents of classic small-molecule histology stains. It efficiently reveals a wealth of key landmarks in cells and tissues under different fixation or sample processing conditions and is compatible with immunolabeling of proteins and in situ hybridization labeling of nucleic acids.

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An, Dongdong, Linlin Shi, Tianyu Li, Hong-Yu Zhang, Yahong Chen, Xin-Qi Hao, and Mao-Ping Song. "Tailored Supramolecular Cage for Efficient Bio-Labeling." International Journal of Molecular Sciences 24, no. 3 (January 21, 2023): 2147. http://dx.doi.org/10.3390/ijms24032147.

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Fluorescent chemosensors are powerful imaging tools used in a broad range of biomedical fields. However, the application of fluorescent dyes in bioimaging still remains challenging, with small Stokes shifts, interfering signals, background noise, and self-quenching on current microscope configurations. In this work, we reported a supramolecular cage (CA) by coordination-driven self-assembly of benzothiadiazole derivatives and Eu(OTf)3. The CA exhibited high fluorescence with a quantum yield (QY) of 38.57%, good photoluminescence (PL) stability, and a large Stokes shift (153 nm). Furthermore, the CCK-8 assay against U87 glioblastoma cells verified the low cytotoxicity of CA. We revealed that the designed probes could be used as U87 cells targeting bioimaging.

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Hsiao, Jong-Kai, Chung-Yi Yang, Yiao-Hong Wang, Chen-Wen Lu, Borade Prajakta Uttam, Hon-Man Liu, and Jaw-Lin Wang. "MAGNETIC NANOPARTICLE LABELING OF CULTURED CANCER CELL LINE WITHOUT TRANSFECTION AGENT." Biomedical Engineering: Applications, Basis and Communications 20, no. 04 (August 2008): 259–65. http://dx.doi.org/10.4015/s1016237208000854.

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Magnetic nanoparticle (MNP) labeling of stem cell has been proved its efficacy for cell trafficking. Most of the labeling technique requires mixture of iron oxide nanoparticles and transfection agent. Stem cells with ionic MNP without the aid of transfection agent were labeled previously. The possibility of high efficiency labeling of cultured cancer cell, HeLa cell, by using ionic MNP is proposed. The labeled cell morphology was observed and the intracellular iron content was determined by spectrophotometry. The cell character change was evaluated by flow cytometry where front scattering count and side scattering count (SSC) were recorded. The imaging ability of the labeling method was determined by T2 weighted magnetic resonance (MR) imaging. Labeled MNPs were accumulated at cytoplasm is observed and the iron content of labeled cell could reach 27 pg/cell. There is no cell diameter change but the cell granularity increased according to SSC data from flow cytometry. Under clinical 1.5T MR imaging, we could detect labeled cells easily were detected at the cell number of 1 × 105. It is concluded that labeling of cancer cell with ionic MNPs without transfection agent is an efficient labeling method which will provide non-invasive imaging method for monitoring cancer behavior.

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Schutera, Mark, Luca Rettenberger, Christian Pylatiuk, and Markus Reischl. "Methods for the frugal labeler: Multi-class semantic segmentation on heterogeneous labels." PLOS ONE 17, no. 2 (February 8, 2022): e0263656. http://dx.doi.org/10.1371/journal.pone.0263656.

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Deep learning increasingly accelerates biomedical research, deploying neural networks for multiple tasks, such as image classification, object detection, and semantic segmentation. However, neural networks are commonly trained supervised on large-scale, labeled datasets. These prerequisites raise issues in biomedical image recognition, as datasets are generally small-scale, challenging to obtain, expensive to label, and frequently heterogeneously labeled. Furthermore, heterogeneous labels are a challenge for supervised methods. If not all classes are labeled for an individual sample, supervised deep learning approaches can only learn on a subset of the dataset with common labels for each individual sample; consequently, biomedical image recognition engineers need to be frugal concerning their label and ground truth requirements. This paper discusses the effects of frugal labeling and proposes to train neural networks for multi-class semantic segmentation on heterogeneously labeled data based on a novel objective function. The objective function combines a class asymmetric loss with the Dice loss. The approach is demonstrated for training on the sparse ground truth of a heterogeneous labeled dataset, training within a transfer learning setting, and the use-case of merging multiple heterogeneously labeled datasets. For this purpose, a biomedical small-scale, multi-class semantic segmentation dataset is utilized. The heartSeg dataset is based on the medaka fish’s position as a cardiac model system. Automating image recognition and semantic segmentation enables high-throughput experiments and is essential for biomedical research. Our approach and analysis show competitive results in supervised training regimes and encourage frugal labeling within biomedical image recognition.

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10

Sadek, Hesham, Shuaib Latif, Robert Collins, Mary G. Garry, and Daniel J. Garry. "Use of ferumoxides for stem cell labeling." Regenerative Medicine 3, no. 6 (November 2008): 807–16. http://dx.doi.org/10.2217/17460751.3.6.807.

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11

Klimkevicius, Vaidas, Evelina Voronovic, Greta Jarockyte, Artiom Skripka, Fiorenzo Vetrone, Ricardas Rotomskis, Arturas Katelnikovas, and Vitalijus Karabanovas. "Polymer brush coated upconverting nanoparticles with improved colloidal stability and cellular labeling." Journal of Materials Chemistry B 10, no. 4 (2022): 625–36. http://dx.doi.org/10.1039/d1tb01644j.

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Upconverting nanoparticles (UCNPs) possess great potential for biomedical application. UCNPs absorb and convert near-infrared (NIR) radiation in the biological imaging window to visible (Vis) and even ultraviolet (UV) radiation.

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Jones, Christopher G., Vitalie Stavila, Marissa A. Conroy, Patrick Feng, Brandon V. Slaughter, Carlee E. Ashley, and Mark D. Allendorf. "Versatile Synthesis and Fluorescent Labeling of ZIF-90 Nanoparticles for Biomedical Applications." ACS Applied Materials & Interfaces 8, no. 12 (March 17, 2016): 7623–30. http://dx.doi.org/10.1021/acsami.5b11760.

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13

Zou, Jie, George Thoma, and Sameer Antani. "Unified deep neural network for segmentation and labeling of multipanel biomedical figures." Journal of the Association for Information Science and Technology 71, no. 11 (January 25, 2020): 1327–40. http://dx.doi.org/10.1002/asi.24334.

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14

Saeedi, Khadem Hussain, and Abdul Wahid Monib. "Biomedical Waste Management in Kandahar City." American International Journal of Biology and Life Sciences 1, no. 2 (November 21, 2019): 40–48. http://dx.doi.org/10.46545/aijbls.v1i2.124.

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Biomedical wastes management is one of the most important issues in public health centers and it is a crucial issue for environmental sectors as well. Wrong and inappropriate management treat the life of human beings in Kandahar City. Currently the population of this city has exponentially increased than ever because of the immigration of many people from neighboring provinces. This research was conducted in 15 districts of Kandahar public and private health care centers to identify the current biomedical waste management in Kandahar city. The qualitative and quantitative date was collected through a questionnaire from public and private hospitals, clinics and health care centers. In addition, discarding, segregating, labeling, transporting and disposing system of biomedical waste were observed. The result showed that 65.3% newly hired biomedical waste staff not received training or instruction. Furthermore, the result indicates that 44% generated biomedical wastes are regulated by municipality and color coding is not followed accordingly. Current biomedical waste is not appropriate based on designed international standards and the criteria suggested by world health organization.

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15

Carr, H. M. H., J. V. Smyth, O. B. Rooney, P. D. Dodd, H. Sharma, and M. G. Walker. "Limitations of In-Vitro Labeling of Endothelial Cells with Indium-111 Oxine." Cell Transplantation 4, no. 3 (May 1995): 291–96. http://dx.doi.org/10.1177/096368979500400307.

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Indium-111 oxine labeling is widely used as a marker of endothelial cell attachment to vascular prostheses. The long term effect of labeling human adult endothelial cells (HAECs) with this isotope has not been determined. In this study the viability of labeled HAECs, leakage of isotope from labeled cells and adherence of circulating isotope to fibronectin coated prostheses were investigated over 24 h. The effect of incubation time on labeling efficiency was also assessed. There were significant differences in cell viability between the labeled and unlabeled groups beyond 4 h (p < 0.005, 2-tailed, unpaired t-test). In the control group cell numbers increased by 42% while in the labeled group this had decreased by 20% at 24 h. Spontaneous leakage increased with time but was maximal in the first 2 h. Adherence of circulating isotope to fibronectin coated expanded polytetrafluoroethylene (ePTFE) grafts was minimal but was significantly greater to gelatin impregnated Dacron (GEL-SEAL) beyond 1 hour (p < 0.05). Incubation times greater than 5 minutes during labeling do not significantly improve labeling efficiency, and may contribute to toxicity by prolonging exposure to oxine. Indium-111 oxine labeling of HAECs is a suitable technique for acute studies of endothelial cell kinetics up to 4 h, but its use in chronic studies may lead to significant underestimations of cell retention.

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16

Santelli, Julien, Séverine Lechevallier, Houda Baaziz, Marine Vincent, Cyril Martinez, Robert Mauricot, Angelo Parini, Marc Verelst, and Daniel Cussac. "Multimodal gadolinium oxysulfide nanoparticles: a versatile contrast agent for mesenchymal stem cell labeling." Nanoscale 10, no. 35 (2018): 16775–86. http://dx.doi.org/10.1039/c8nr03263g.

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Despite a clear development of innovative therapies based on stem cell manipulation, the availability of new tools to better understand and follow stem cell behavior and improve their biomedical applications is not adequate.

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17

Zhang, Yaoyun, Buzhou Tang, Min Jiang, Jingqi Wang, and Hua Xu. "Domain adaptation for semantic role labeling of clinical text." Journal of the American Medical Informatics Association 22, no. 5 (June 10, 2015): 967–79. http://dx.doi.org/10.1093/jamia/ocu048.

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Abstract Objective Semantic role labeling (SRL), which extracts a shallow semantic relation representation from different surface textual forms of free text sentences, is important for understanding natural language. Few studies in SRL have been conducted in the medical domain, primarily due to lack of annotated clinical SRL corpora, which are time-consuming and costly to build. The goal of this study is to investigate domain adaptation techniques for clinical SRL leveraging resources built from newswire and biomedical literature to improve performance and save annotation costs. Materials and Methods Multisource Integrated Platform for Answering Clinical Questions (MiPACQ), a manually annotated SRL clinical corpus, was used as the target domain dataset. PropBank and NomBank from newswire and BioProp from biomedical literature were used as source domain datasets. Three state-of-the-art domain adaptation algorithms were employed: instance pruning, transfer self-training, and feature augmentation. The SRL performance using different domain adaptation algorithms was evaluated by using 10-fold cross-validation on the MiPACQ corpus. Learning curves for the different methods were generated to assess the effect of sample size. Results and Conclusion When all three source domain corpora were used, the feature augmentation algorithm achieved statistically significant higher F-measure (83.18%), compared to the baseline with MiPACQ dataset alone (F-measure, 81.53%), indicating that domain adaptation algorithms may improve SRL performance on clinical text. To achieve a comparable performance to the baseline method that used 90% of MiPACQ training samples, the feature augmentation algorithm required <50% of training samples in MiPACQ, demonstrating that annotation costs of clinical SRL can be reduced significantly by leveraging existing SRL resources from other domains.

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18

Breschi, L., P. Gobbi, M. Lopes, C. Prati, M. Falconi, G. Teti, and G. Mazzotti. "Immunocytochemical analysis of dentin: A double-labeling technique." Journal of Biomedical Materials Research 67A, no. 1 (September 24, 2003): 11–17. http://dx.doi.org/10.1002/jbm.a.10048.

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19

Bernatchez, Renaud, Audrey Durand, and Flavie Lavoie-Cardinal. "Annotation Cost-Sensitive Deep Active Learning with Limited Data (Student Abstract)." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 11 (June 28, 2022): 12913–14. http://dx.doi.org/10.1609/aaai.v36i11.21593.

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Deep learning is a promising avenue to automate tedious analysis tasks in biomedical imaging. However, its application in such a context is limited by the large amount of labeled data required to train deep learning models. While active learning may be used to reduce the amount of labeling data, many approaches do not consider the cost of annotating, which is often significant in a biomedical imaging setting. In this work we show how annotation cost can be considered and learned during active learning on a classification task on the MNIST dataset.

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20

Leshko, LeeAnn. "Quantum leap for labeling." Nature Biotechnology 16, no. 11 (November 1998): 994. http://dx.doi.org/10.1038/3427.

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21

Iadarola, Linda, and Paul Webster. "Can Microwave Ovens Reduce Immunocytochemical Labeling Times?" Proceedings, annual meeting, Electron Microscopy Society of America 54 (August 11, 1996): 38–39. http://dx.doi.org/10.1017/s042482010016265x.

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In recent years the use of microwave ovens in biomedical microscopy laboratories has contributed to reducing the times of fixation and resin embedding. Reports of the use of microwaves for histochemsitry and immunocytochemistry led us to investigate the possible use of a microwave oven to reduce immunocytochemical labeling protocols.The application of specific antibodies to thawed cryosections of aldehyde-fixed material is becoming more accessible to research and service laboratories. These detection methods, routinely performed in our laboratory, were used to study the effect of microwaves on labeling protocols using affinity purified, polyclonal antibodies and protein A-gold.Cells containing 3-(2,4-dinitroanilino)-3-arnino-N-methyldipropylamine (DAMP), a compound which accumulates in low pH compartments, were aldehyde-fixed, cryosectioned and then labeled with rabbit antibodies to dinitrophenol (which bind to DAMP) and 10nm protein-A gold. Regular sequential labeling protocols were compared with protocols using a microwave oven operating at 100% power, where the antibody incubation and washing times were reduced. The effect of microwaves on the labeling efficiency was investigated using simple quantitative methods. The protocol which produced reduced incubation times with no loss of labeling efficiency was then applied to sections in the absence of microwaves. The effect of reducing the final methyl cellulose-uranyl acetate contrasting step was also investigated.

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22

Stockert, Juan C., Jesús Espada, and Alfonso Blázquez-Castro. "Melanin-Binding Colorants: Updating Molecular Modeling, Staining and Labeling Mechanisms, and Biomedical Perspectives." Colorants 1, no. 1 (February 24, 2022): 91–120. http://dx.doi.org/10.3390/colorants1010007.

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Melanin and melanoma tumors are two fields of increasing interest in biomedical research. Melanins are ubiquitous biopigments with adaptive value and multiple functions, and occur in the malignant melanoma. Although several chemical structures have been proposed for eumelanin, molecular modeling and orbitals indicate that a planar or spiral benzoquinone-porphycene polymer would be the model that better explains the broad-band light and ultrasound absorption, electric conductivity, and graphite-like organization shown by X-ray crystallography and electron microscopy. Lysosomes and melanosomes are selectively labeled by vital probes, and melanin also binds to metal cations, colorants, and drugs, with important consequences in pharmacology, pathology, and melanoma therapy. In addition to traditional and recent oncologic treatments, photodynamic, photothermal, and ultrasound protocols represent novel modalities for melanoma therapy. Since eumelanin is practically the ideal photothermal and ultrasound sensitizer, the vibrational decay from photo-excited electrons after NIR irradiation, or the electrochemical production of ROS and radicals after ultrasound absorption, induce an efficient heating or oxidative response, resulting in the damage and death of tumor cells. This allows repetitive treatments due to the remaining melanin contained in tumoral melanophages. Given that evolution and prognosis of the advanced melanoma is still a concern, new biophysical procedures based on melanin properties can now be developed and applied.

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23

Kazan, S. M., M. A. Chappell, and S. J. Payne. "Modeling the Effects of Flow Dispersion in Arterial Spin Labeling." IEEE Transactions on Biomedical Engineering 56, no. 6 (June 2009): 1635–43. http://dx.doi.org/10.1109/tbme.2009.2016977.

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24

Fu, Bingmei, Fitz-Roy E. Curry, Roger H. Adamson, and Sheldon Weinbaum. "A model for interpreting the tracer labeling of interendothelial clefts." Annals of Biomedical Engineering 25, no. 2 (March 1997): 375–97. http://dx.doi.org/10.1007/bf02648050.

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25

Robertson, Elijah, and Liangzhong Xiang. "Theranostics with radiation-induced ultrasound emission (TRUE)." Journal of Innovative Optical Health Sciences 11, no. 03 (April 9, 2018): 1830002. http://dx.doi.org/10.1142/s1793545818300021.

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Two novel ultrasound imaging techniques with imaging contrast mechanisms are in the works: X-ray-induced acoustic computed tomography (XACT), and nanoscale photoacoustic tomography (nPAT). XACT has incredible potential in: (1) biomedical imaging, through which a 3D image can be generated using only a single X-ray projection, and (2) radiation dosimetry. nPAT as a new alternative of super-resolution microscopy can break through the optical diffraction limit and is capable of exploring sub-cellular structures without reliance on fluorescence labeling. We expect these new imaging techniques to find widespread applications in both pre-clinical and clinical biomedical research.

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26

Sosnovik, David E., and Marielle Scherrer-Crosbie. "Biomedical Imaging in Experimental Models of Cardiovascular Disease." Circulation Research 130, no. 12 (June 10, 2022): 1851–68. http://dx.doi.org/10.1161/circresaha.122.320306.

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Major advances in biomedical imaging have occurred over the last 2 decades and now allow many physiological, cellular, and molecular processes to be imaged noninvasively in small animal models of cardiovascular disease. Many of these techniques can be also used in humans, providing pathophysiological context and helping to define the clinical relevance of the model. Ultrasound remains the most widely used approach, and dedicated high-frequency systems can obtain extremely detailed images in mice. Likewise, dedicated small animal tomographic systems have been developed for magnetic resonance, positron emission tomography, fluorescence imaging, and computed tomography in mice. In this article, we review the use of ultrasound and positron emission tomography in small animal models, as well as emerging contrast mechanisms in magnetic resonance such as diffusion tensor imaging, hyperpolarized magnetic resonance, chemical exchange saturation transfer imaging, magnetic resonance elastography and strain, arterial spin labeling, and molecular imaging.

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27

Wilbur, D. Scott. "Radiohalogenation of proteins: An overview of radionuclides, labeling methods and reagents for conjugate labeling." Bioconjugate Chemistry 3, no. 6 (November 1992): 433–70. http://dx.doi.org/10.1021/bc00018a001.

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Rombouts, K., K. Braeckmans, and K. Remaut. "Fluorescent Labeling of Plasmid DNA and mRNA: Gains and Losses of Current Labeling Strategies." Bioconjugate Chemistry 27, no. 2 (December 28, 2015): 280–97. http://dx.doi.org/10.1021/acs.bioconjchem.5b00579.

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Wang, Peng, Ming Yuan, Na Li, and Feng Zhang. "A study on human serum albumin corona formed on photoluminescent carbon dots." Journal of Chemical Research 44, no. 7-8 (February 4, 2020): 447–52. http://dx.doi.org/10.1177/1747519819895710.

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Fluorescence nanostructures have been widely applied in the biomedical field as therapeutic agents and as novel tools for labeling, imaging, and sensing. However, the protein corona will dramatically influence the predesigned properties of nanostructures in serum. Therefore, it is important to understand the mechanism of protein corona formation on nanostructures. Photoluminescent carbon dots have been widely applied in the biomedical field since their discovery. Due to the large overlap between the absorption spectra of proteins and the fluorescence spectra of photoluminescent carbon dots, herein we investigate the mechanism of human serum albumin corona formed on photoluminescent carbon dots using fluorescence resonance energy transfer. By employing spectroscopic methods, the binding constants and the number of binding sites between human serum albumin and photoluminescent carbon dots have been determined, and the corresponding thermodynamics are also discussed as well for the interaction between photoluminescent carbon dots and human serum albumin. In addition, we successfully demonstrate the photoluminescent carbon dots in labeling bean sprouts. We believe that the current research cannot shed light on the mechanism of protein corona formation on nanostructures, but also could benefit the design of hybrid nanomaterial which will be applied to serum environments.

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Sabharwal, Nidhi, Eric C. Holland, and Maribel Vazquez. "Live Cell Labeling of Glial Progenitor Cells Using Targeted Quantum Dots." Annals of Biomedical Engineering 37, no. 10 (May 5, 2009): 1967–73. http://dx.doi.org/10.1007/s10439-009-9703-4.

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31

Scior, Katrina, Theresa Connolly, and Janice Williams. "The Effects of Symptom Recognition and Diagnostic Labels on Public Beliefs, Emotional Reactions, and Stigmas Associated with Intellectual Disability." American Journal on Intellectual and Developmental Disabilities 118, no. 3 (May 1, 2013): 211–23. http://dx.doi.org/10.1352/1944-7558-118.3.211.

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Abstract Labels are firmly rejected by the disability rights movement, yet the complex effects of labeling on lay beliefs are poorly understood. This study examined the effects of labeling on the general public's reactions to people with intellectual disabilities. A sample of 1,233 adult members of the UK general population were randomly presented with either a diagnostically labeled or unlabeled case vignette, and their emotional reactions, causal beliefs, and social distance were assessed. Providing a label reduced social distance, increased biomedical attributions, and had a small positive direct effect on emotional reactions. Making a diagnosis of mild intellectual disability known may prevent misattribution to more stigmatizing causes and thus reduce social distance. Some undesirable effects were observed though on causal beliefs and associated emotional reactions.

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Sciuto, Emanuele, Giusy Villaggio, Maria Santangelo, Samuele Laudani, Concetta Federico, Salvatore Saccone, Fulvia Sinatra, and Sebania Libertino. "Study of a Miniaturizable System for Optical Sensing Application to Human Cells." Applied Sciences 9, no. 5 (March 7, 2019): 975. http://dx.doi.org/10.3390/app9050975.

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Conventional approaches to human intracellular optical sensing, generally, require dedicated laboratories with bulky detection systems. They are performed by cell labeling procedures based on the use of fluorophores that are, mostly, phototoxic, invasive, bleached in case of prolonged light exposures, which require carriers and/or structural modifications for the cellular uptake. These issues, together with the sensitivity of the eukaryotic cell model, could be problematic towards the development of a robust sensing system suitable for biomedical screening. In this work, we studied a sensing system resulting from the combination of the commercial tris(2,2’bipyridyl)ruthenium(II) fluorophore, for cell labeling, with a potentially miniaturizable optical system composed by a laser source and a photomultiplier tube, for the fluorescence analysis.

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Lee, Jae Kwon, Man Kyoung Lee, Hye Jin Jin, Dal-Soo Kim, Yoon Sun Yang, Wonil Oh, Sung-Eun Yang, et al. "Efficient Intracytoplasmic Labeling of Human Umbilical Cord Blood Mesenchymal Stromal Cells with Ferumoxides." Cell Transplantation 16, no. 8 (September 2007): 849–57. http://dx.doi.org/10.3727/000000007783465271.

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Mesenchymal stromal cells (MSCs) are multipotent cells found in several adult tissues; they have the capacity to differentiate into mesodermal, ectodermal, and endodermal tissues in vitro. There have been several reports that MSCs have therapeutic effects in a variety of diseases. Therefore, using a cell labeling technique, monitoring their temporal and spatial migration in vivo, would be useful in the clinical setting. Magnetic resonance imaging (MRI)—tracking of superparamagnetic iron oxide (SPIO)-labeled cells—is a noninvasive technique for determining the location and migration of transplanted cells. In the present study, we evaluated the influence and toxicity of SPIO (ferumoxides) labeling on multiple differentiated MSCs. To evaluate the influence and toxicity of ferumoxides labeling on differentiation of MSCs, a variety of concentrations of ferumoxides were used for labeling MSCs. We found that the cytoplasm of adherent cells was effectively labeled at low concentrations of ferumoxides. Compared with unlabeled controls, the ferumoxides-labeled MSCs exhibited a similar proliferation rate and apoptotic progression. The labeled MSCs differentiated into osteoblasts and adipocytes in an identical fashion as the unlabeled cells. However, chondrogenesis and neurogenesis were inhibited at high concentrations of ferumoxides. Our results suggest the effective concentration for ferumoxides use in tracking MSCs.

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34

Lai, Po-Ting, Yu-Yan Lo, Ming-Siang Huang, Yu-Cheng Hsiao, and Richard Tzong-Han Tsai. "BelSmile: a biomedical semantic role labeling approach for extracting biological expression language from text." Database 2016 (2016): baw064. http://dx.doi.org/10.1093/database/baw064.

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35

Melchett, Peter. "Transparency in GM food labeling." Nature Biotechnology 33, no. 5 (May 2015): 453. http://dx.doi.org/10.1038/nbt.3220.

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36

Winslow, Lee. "Making the Case for Consistent Alarm Labeling." Biomedical Instrumentation & Technology 46, no. 5 (September 1, 2012): 400. http://dx.doi.org/10.2345/0899-8205-46.5.400.

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37

DeVenio, Danielle. "Visual Language Can Enhance Medical Device Labeling." Biomedical Instrumentation & Technology 47, s1 (January 1, 2013): 31. http://dx.doi.org/10.2345/0899-8205-47.s1.31.

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38

Stifano, Toni, Maggie Fu, Jennifer P. Alexander, Stacey A. Weger, Brian G. Southwell, Michael F. Burke, and Samruddhi Thaker. "Healthcare Provider Preferences for Medical Device Labeling." Biomedical Instrumentation & Technology 47, s1 (January 1, 2013): 42. http://dx.doi.org/10.2345/0899-8205-47.s1.42.

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Poudel, Bijay Kumar, Jae Hong Park, Jiseok Lim, and Jeong Hoon Byeon. "Direct fluorescent labeling for efficient biological assessment of inhalable particles." Nanotoxicology 11, no. 8 (September 14, 2017): 953–63. http://dx.doi.org/10.1080/17435390.2017.1378748.

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Liu, Junfang, Minhong Su, Xin Chen, Zhongli Li, Zekui Fang, and Li Yi. "Lipid-mediated biosynthetic labeling strategy for in vivo dynamic tracing of avian influenza virus infection." Journal of Biomaterials Applications 36, no. 9 (January 7, 2022): 1689–99. http://dx.doi.org/10.1177/08853282211063298.

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Monitoring the infection behavior of avian influenza viruses is crucial for understanding viral pathogenesis and preventing its epidemics among people. A number of viral labeling methods have been utilized for tracking viral infection process, but most of them are laborious or decreasing viral activity. Herein we explored a lipid biosynthetic labeling strategy for dynamical tracking the infection of H5N1 pseudotype virus (H5N1p) in host. Biotinylated lipids (biotinyl Cap-PE) were successfully incorporated into viral envelope when it underwent budding process by taking advantage of host cell-derived lipid metabolism. Biotin-H5N1p virus was effectively in situ–labeled with streptavidin-modified near-infrared quantum dots (NIR SA-QDs) using streptavidin-biotin conjugation with well-preserved virus activities. Dual-labeled imaging obviously shows that H5N1p viruses are primarily taken up in host cells via clathrin-mediated endocytosis. In animal models, Virus-conjugated NIR QDs displayed extraordinary photoluminescence, superior stability, and tissue penetration in lung, allowing us to long-term monitor respiratory viral infection in a noninvasive manner. Importantly, the co-localization of viral hemagglutinin protein and QDs in infected lung further conformed the dynamic infection process of virus in vivo. Hence, this in situ QD-labeling strategy based on cell natural biosynthesis provides a brand-new and reliable tool for noninvasion visualizing viral infection in body in a real-time manner.

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Santosh, K. C., Naved Alam, Partha Pratim Roy, Laurent Wendling, Sameer Antani, and George R. Thoma. "A Simple and Efficient Arrowhead Detection Technique in Biomedical Images." International Journal of Pattern Recognition and Artificial Intelligence 30, no. 05 (April 21, 2016): 1657002. http://dx.doi.org/10.1142/s0218001416570020.

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In biomedical documents/publications, medical images tend to be complex by nature and often contain several regions that are annotated using arrows. In this context, an automated arrowhead detection is a critical precursor to region-of-interest (ROI) labeling and image content analysis. To detect arrowheads, in this paper, images are first binarized using fuzzy binarization technique to segment a set of candidates based on connected component (CC) principle. To select arrow candidates, we use convexity defect-based filtering, which is followed by template matching via dynamic time warping (DTW). The DTW similarity score confirms the presence of arrows in the image. Our test results on biomedical images from imageCLEF 2010 collection shows the interest of the technique, and can be compared with previously reported state-of-the-art results.

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Shumyantseva, V. V., T. V. Bulko, E. V. Suprun, A. V. Kuzikov, L. E. Agafonova, and A. I. Archakov. "Electrochemical methods for biomedical investigations." Biomeditsinskaya Khimiya 61, no. 2 (2015): 188–202. http://dx.doi.org/10.18097/pbmc20156102188.

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In the review, authors discussed recently published experimental data concerning highly sensitive electrochemical methods and technologies for biomedical investigations in the postgenomic era. Developments in electrochemical biosensors systems for the analysis of various bio objects are also considered: cytochrome P450s, cardiac markers, bacterial cells, the analysis of proteins based on electro oxidized amino acids as a tool for analysis of conformational events. The electroanalysis of catalytic activity of cytochromes P450 allowed developing system for screening of potential substrates, inhibitors or modulators of catalytic functions of this class of hemoproteins. The highly sensitive quartz crystal microbalance (QCM) immunosensor has been developed for analysis of bio affinity interactions of antibodies with troponin I in plasma. The QCM technique allowed real-time monitoring of the kinetic differences in specific interactions and nonspecific sorption, without multiple labeling procedures and separation steps. The affinity binding process was characterized by the association (ka) and the dissociation (kd) kinetic constants and the equilibrium association (K) constant, calculated using experimental data. Based on the electroactivity of bacterial cells, the electrochemical system for determination of sensitivity of the microbial cells to antibiotics cefepime, ampicillin, amikacin, and erythromycin was proposed. It was shown that the minimally detectable cell number corresponds to 106 CFU per electrode. The electrochemical method allows estimating the degree of E.coli JM109 cells resistance to antibiotics within 2-5 h. Electrosynthesis of polymeric analogs of antibodies for myoglobin (molecularly imprinted polymer, MIP) on the surface of graphite screen-printed electrodes as sensor elements with o- phenylenediamine as the functional monomer was developed. Molecularly imprinted polymers demonstrate selective complementary binding of a template protein molecule (myoglobin) by the "key - lock" principle.

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Bruch, Roman, Rüdiger Rudolf, Ralf Mikut, and Markus Reischl. "Evaluation of semi-supervised learning using sparse labeling to segment cell nuclei." Current Directions in Biomedical Engineering 6, no. 3 (September 1, 2020): 398–401. http://dx.doi.org/10.1515/cdbme-2020-3103.

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AbstractThe analysis of microscopic images from cell cultures plays an important role in the development of drugs. The segmentation of such images is a basic step to extract the viable information on which further evaluation steps are build. Classical image processing pipelines often fail under heterogeneous conditions. In the recent years deep neuronal networks gained attention due to their great potentials in image segmentation. One main pitfall of deep learning is often seen in the amount of labeled data required for training such models. Especially for 3D images the process to generate such data is tedious and time consuming and thus seen as a possible reason for the lack of establishment of deep learning models for 3D data. Efforts have been made to minimize the time needed to create labeled training data or to reduce the amount of labels needed for training. In this paper we present a new semisupervised training method for image segmentation of microscopic cell recordings based on an iterative approach utilizing unlabeled data during training. This method helps to further reduce the amount of labels required to effectively train deep learning models for image segmentation. By labeling less than one percent of the training data, a performance of 90% compared to a full annotation with 342 nuclei can be achieved.

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Koessler, L., T. Cecchin, O. Caspary, A. Benhadid, H. Vespignani, and L. Maillard. "EEG–MRI Co-registration and Sensor Labeling Using a 3D Laser Scanner." Annals of Biomedical Engineering 39, no. 3 (December 8, 2010): 983–95. http://dx.doi.org/10.1007/s10439-010-0230-0.

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Nohroudi, K., S. Arnhold, T. Berhorn, K. Addicks, M. Hoehn, and U. Himmelreich. "In Vivo MRI Stem Cell Tracking Requires Balancing of Detection Limit and Cell Viability." Cell Transplantation 19, no. 4 (April 2010): 431–41. http://dx.doi.org/10.3727/096368909x484699.

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Cell-based therapy using adult mesenchymal stem cells (MSCs) has already been the subject of clinical trials, but for further development and optimization the distribution and integration of the engrafted cells into host tissues have to be monitored. Today, for this purpose magnetic resonance imaging (MRI) is the most suitable technique, and micron-sized iron oxide particles (MPIOs) used for labeling are favorable due to their low detection limit. However, constitutional data concerning labeling efficiency, cell viability, and function are lacking. We demonstrate that cell viability and migratory potential of bone marrow mesenchymal stromal cells (BMSCs) are negatively correlated with incorporated MPIOs, presumably due to interference with the actin cytoskeleton. Nevertheless, labeling of BMSCs with low amounts of MPIOs results in maintained cellular function and sufficient contrast for in vivo observation of single cells by MRI in a rat glioma model. Conclusively, though careful titration is indicated, MPIOs are a promising tool for in vivo cell tracking and evaluation of cell-based therapies.

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Ji, Yunseong, Yu-Meng Li, Jin Gwan Seo, Tae-Su Jang, Jonathan Campbell Knowles, Sung Ho Song, and Jung-Hwan Lee. "Biological Potential of Polyethylene Glycol (PEG)-Functionalized Graphene Quantum Dots in In Vitro Neural Stem/Progenitor Cells." Nanomaterials 11, no. 6 (May 29, 2021): 1446. http://dx.doi.org/10.3390/nano11061446.

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Stem cell therapy is one of the novel and prospective fields. The ability of stem cells to differentiate into different lineages makes them attractive candidates for several therapies. It is essential to understand the cell fate, distribution, and function of transplanted cells in the local microenvironment before their applications. Therefore, it is necessary to develop an accurate and reliable labeling method of stem cells for imaging techniques to track their translocation after transplantation. The graphitic quantum dots (GQDs) are selected among various stem cell labeling and tracking strategies which have high photoluminescence ability, photostability, relatively low cytotoxicity, tunable surface functional groups, and delivering capacity. Since GQDs interact easily with the cell and interfere with cell behavior through surface functional groups, an appropriate surface modification needs to be considered to get close to the ideal labeling nanoprobes. In this study, polyethylene glycol (PEG) is used to improve biocompatibility while simultaneously maintaining the photoluminescent potentials of GQDs. The biochemically inert PEG successfully covered the surface of GQDs. The PEG-GQDs composites show adequate bioimaging capabilities when internalized into neural stem/progenitor cells (NSPCs). Furthermore, the bio-inertness of the PEG-GQDs is confirmed. Herein, we introduce the PEG-GQDs as a valuable tool for stem cell labeling and tracking for biomedical therapies in the field of neural regeneration.

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Peuralahti, Jari, Katriina Suonpää, Kaj Blomberg, Veli-Matti Mukkala, and Jari Hovinen. "Labeling of Steroids on Solid Phase." Bioconjugate Chemistry 15, no. 4 (July 2004): 927–30. http://dx.doi.org/10.1021/bc049929p.

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Dauner, Martin, Ellen Batroff, Verena Bachmann, Christof R. Hauck, and Valentin Wittmann. "Synthetic Glycosphingolipids for Live-Cell Labeling." Bioconjugate Chemistry 27, no. 7 (June 22, 2016): 1624–37. http://dx.doi.org/10.1021/acs.bioconjchem.6b00177.

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Urusov, Alexandr E., Alina V. Petrakova, Anatoly V. Zherdev, and Elena A. Zvereva. "Indirect Labeling of Antibodies as a Universal Approach to Increase Sensitivity of Lateral Flow Tests: A Case Study for Mycotoxins Detection." Open Biotechnology Journal 13, no. 1 (November 15, 2019): 113–21. http://dx.doi.org/10.2174/187407070190130113.

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Objective: The study aimed at increasing the sensitivity of immunochromatographic tests for the control of toxic contaminants (on the examples of aflatoxin B1 and T-2 toxin) in agricultural products. Methods: For reliable immunochromatographic detection of low concentrations of analytes, a replacement of the (specific antibodies – gold nanoparticle) conjugate by a combination of native specific antibodies and anti-species antibodies conjugated with gold nanoparticles was proposed. Different variants of test systems based on the principle of indirect labeling were realized and compared. Results: Immunochromatographic assays with indirect labeling for aflatoxin B1 and T-2 toxin were implemented experimentally. A reduction in the detection limit by one to two orders of magnitude was demonstrated. Conclusion: The presented results confirm that indirect labeling of specific antibodies overcomes the limitations of the competitive immunochromatographic analysis and can be used to detect analytes of different chemical nature.

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Pongrac, Igor M., Marina Dobrivojević Radmilović, Lada Brkić Ahmed, Hrvoje Mlinarić, Jan Regul, Siniša Škokić, Michal Babič, Daniel Horák, Mathias Hoehn, and Srećko Gajović. "D-mannose-Coating of Maghemite Nanoparticles Improved Labeling of Neural Stem Cells and Allowed Their Visualization by ex vivo MRI after Transplantation in the Mouse Brain." Cell Transplantation 28, no. 5 (May 2019): 553–67. http://dx.doi.org/10.1177/0963689719834304.

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Magnetic resonance imaging (MRI) of superparamagnetic iron oxide-labeled cells can be used as a non-invasive technique to track stem cells after transplantation. The aim of this study was to (1) evaluate labeling efficiency of D-mannose-coated maghemite nanoparticles (D-mannose(γ-Fe2O3)) in neural stem cells (NSCs) in comparison to the uncoated nanoparticles, (2) assess nanoparticle utilization as MRI contrast agent to visualize NSCs transplanted into the mouse brain, and (3) test nanoparticle biocompatibility. D-mannose(γ-Fe2O3) labeled the NSCs better than the uncoated nanoparticles. The labeled cells were visualized by ex vivo MRI and their localization subsequently confirmed on histological sections. Although the progenitor properties and differentiation of the NSCs were not affected by labeling, subtle effects on stem cells could be detected depending on dose increase, including changes in cell proliferation, viability, and neurosphere diameter. D-mannose coating of maghemite nanoparticles improved NSC labeling and allowed for NSC tracking by ex vivo MRI in the mouse brain, but further analysis of the eventual side effects might be necessary before translation to the clinic.

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