Journal articles on the topic 'Non-invasive characterization'

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1

Strieth, D., J. Kollmen, and N. Erdmann. "Phototrophic biofilms: Invasive and non‐invasive tools for characterization." Chemie Ingenieur Technik 94, no. 9 (August 25, 2022): 1250. http://dx.doi.org/10.1002/cite.202255257.

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Vanderhaghen, Regis, Samir Kasouit, João Pedro Conde, Hyun Mo Cho, Virginia Chu, Yun Woo Lee, Hyun Jong Kim, Sang Youl Kim, and Jean Paul Kleider. "Non-invasive electrical characterization of semiconductor interfaces." Materials Science and Engineering: B 102, no. 1-3 (September 2003): 156–60. http://dx.doi.org/10.1016/s0921-5107(02)00638-4.

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Sanchis-Jurado, V., Cristian Talens-Estarelles, J. J. Esteve-Taboada, Á. M. Pons, and S. García-Lázaro. "Non-invasive high-speed blinking kinematics characterization." Graefe's Archive for Clinical and Experimental Ophthalmology 258, no. 12 (June 10, 2020): 2701–14. http://dx.doi.org/10.1007/s00417-020-04782-w.

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4

Gupta, Sharad, Martin Hunter, Peggy Cebe, Jonathan M. Levitt, David L. Kaplan, and Irene Georgakoudi. "Non-invasive optical characterization of biomaterial mineralization." Biomaterials 29, no. 15 (May 2008): 2359–69. http://dx.doi.org/10.1016/j.biomaterials.2008.01.034.

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BARNES, R. "Non-invasive characterization of arterial system function." American Journal of Hypertension 17, no. 5 (May 2004): S56. http://dx.doi.org/10.1016/j.amjhyper.2004.03.142.

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6

Glorieux, Christ. "Perspective on non-invasive and non-destructive photoacoustic and photothermal applications." Journal of Applied Physics 131, no. 17 (May 7, 2022): 170903. http://dx.doi.org/10.1063/5.0091261.

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This contribution intends to convince readers that by virtue of the rich physics involved, optical excitation, thermal diffusion, thermal expansion, and acoustic wave propagation, and of the optical nature of the involved excitation and detection, photoacoustic and photothermal methods offer a unique combination of features that makes them very attractive for exploitation in a wide area of scientific and technological fields that involve material property evaluation. A perspective is also given on the high potential of these methods for substantial advances beyond the state of the art in a diverse selection of scientific disciplines: biomedical diagnostics, cell and tissue mechanobiology, thin film and interface characterization, characterization of the microstructure of solids, and the physics of relaxation in glass-forming liquids.
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7

Paulus, Andreas, Petronella A. van Ewijk, Emmani B. M. Nascimento, Marijke De Saint-Hubert, Geert Hendrikx, Andrea Vogg, Ivo Pooters, et al. "Characterization of BAT activity in rats using invasive and non-invasive techniques." PLOS ONE 14, no. 5 (May 15, 2019): e0215852. http://dx.doi.org/10.1371/journal.pone.0215852.

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8

Luca-Harari, Bogdan, Monica Straut, Silvia Cretoiu, Maria Surdeanu, Vasilica Ungureanu, Mark van der Linden, and Aftab Jasir. "Molecular characterization of invasive and non-invasive Streptococcus pyogenes isolates from Romania." Journal of Medical Microbiology 57, no. 11 (November 1, 2008): 1354–63. http://dx.doi.org/10.1099/jmm.0.2008/001875-0.

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In 2002, the Romanian National Reference Laboratory was invited to join the Strep-EURO project to study invasive Streptococcus pyogenes infections. During 2003 and 2004, a total of 33 isolates recovered from invasive disease were received from eight Romanian counties. For comparison, 102 isolates from non-invasive disease, as well as a collection of 12 old invasive strains (isolated between 1967 and 1980) were included. All isolates were characterized by several methods: T and emm typing, presence of the fibronectin-binding protein F1 gene (prtF1), serum opacity factor (sof), and superantigen (SAg) genes (speA, speB, speC, speF, speG, speH, ssa and smeZ). The recent invasive isolates exhibited 19 emm-types, of which emm1, emm81, emm76, emm49 and emm78 covered 57 % of the strains. Furthermore, multilocus sequence typing analysis revealed nine new sequence types, corresponding to emm types 1, 12, 49, 81, 92, 100, 106 and 119. The non-invasive isolates comprised 24 different emm types with a predominance of emm1 and 12; the old invasive strains were of eight emm types, of which four were unique for this group. All isolates harboured speB and speF; smeZ was detected in all invasive strains, except for the emm49 and emm81 isolates. The majority of isolates from carriers, and patients with pharyngitis were prtF1 positive, most of these (14 strains) being emm12. High tetracycline resistance rates were noted among both invasive and control isolates (54 % and 35 %, respectively), whereas macrolide resistance rates were low (3 % and 5 %, respectively). Active and continuing surveillance is required to provide an accurate assessment of the disease burden and to provide epidemiological data on the character of isolates in Romania.
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9

Fonseca, J., C. O’Sullivan, M. R. Coop, and P. D. Lee. "Non-invasive characterization of particle morphology of natural sands." Soils and Foundations 52, no. 4 (August 2012): 712–22. http://dx.doi.org/10.1016/j.sandf.2012.07.011.

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10

Kunst, M., and P. Grunow. "Characterization of multicrystalline silicon wafers by non-invasive measurements." Solar Energy Materials and Solar Cells 83, no. 4 (July 2004): 409–19. http://dx.doi.org/10.1016/j.solmat.2004.01.034.

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11

Zhou, Jun, Wenjing Hu, and Liping Tang. "Non-invasive Characterization of Immune Responses to Biomedical Implants." Annals of Biomedical Engineering 44, no. 3 (October 5, 2015): 693–704. http://dx.doi.org/10.1007/s10439-015-1470-9.

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12

Faria, Dalva L. A., Marta S. Maier, Sara D. Parera, Marisa C. Afonso, Silvia C. Lima, and Howell G. M. Edwards. "Non‐invasive and non‐destructive Raman spectroscopic characterization of some Brazilian ethnographic resins." Journal of Raman Spectroscopy 52, no. 12 (October 24, 2021): 2262–71. http://dx.doi.org/10.1002/jrs.6270.

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13

Meeks, Joshua J., Benedito A. Carneiro, Sachin G. Pai, Daniel T. Oberlin, Alfred Rademaker, Kyle Fedorchak, Sohail Balasubramanian, Julia Elvin, Nike Beaubier, and Francis J. Giles. "Genomic characterization of high-risk non-muscle invasive bladder cancer." Oncotarget 7, no. 46 (October 14, 2016): 75176–84. http://dx.doi.org/10.18632/oncotarget.12661.

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14

Failla, M., C. Giannattasio, A. Capra, E. Meles, C. Zazzeron, V. Scotti, F. Bianchi, et al. "NON-INVASIVE CHARACTERIZATION OF CAROTID PLAQUE COMPOSITION BY IBS ANALYSIS." Journal of Hypertension 22, Suppl. 2 (June 2004): S13. http://dx.doi.org/10.1097/00004872-200406002-00036.

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15

Simon, M., J. Guo, S. Papazoglou, H. Scholand-Engler, C. Erdmann, U. Melchert, M. Bonsanto, et al. "Non-invasive characterization of intracranial tumors by magnetic resonance elastography." New Journal of Physics 15, no. 8 (August 22, 2013): 085024. http://dx.doi.org/10.1088/1367-2630/15/8/085024.

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16

Jae-Young Chung, K. Sertel, and J. L. Volakis. "A Non-Invasive Metamaterial Characterization System Using Synthetic Gaussian Aperture." IEEE Transactions on Antennas and Propagation 57, no. 7 (July 2009): 2006–13. http://dx.doi.org/10.1109/tap.2009.2021923.

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17

Lückerath, Katharina, Constantin Lapa, Annika Spahmann, Gerhard Jörg, Samuel Samnick, Andreas Rosenwald, Herrmann Einsele, Stefan Knop, and Andreas K. Buck. "Targeting Paraprotein Biosynthesis for Non-Invasive Characterization of Myeloma Biology." PLoS ONE 8, no. 12 (December 23, 2013): e84840. http://dx.doi.org/10.1371/journal.pone.0084840.

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18

Casieri, C., S. Bubici, I. Viola, and F. De Luca. "A low-resolution non-invasive NMR characterization of ancient paper." Solid State Nuclear Magnetic Resonance 26, no. 2 (September 2004): 65–73. http://dx.doi.org/10.1016/j.ssnmr.2004.02.001.

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19

Arnaud, F., G. Delhomme, A. Dittmar, Girard P., L. Netchiporouk, C. Martelet, R. Cespuglio, and W. H. Newman. "A micro thermal diffusion sensor for non-invasive skin characterization." Sensors and Actuators A: Physical 41, no. 1-3 (April 1994): 240–43. http://dx.doi.org/10.1016/0924-4247(94)80117-7.

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20

Tlili, M., F. Deshours, G. Alquié, H. Kokabi, S. Hardinata, and F. Koskas. "Microwave Resonant Sensor for Non-invasive Characterization of Biological Tissues." IRBM 39, no. 6 (December 2018): 445–50. http://dx.doi.org/10.1016/j.irbm.2018.10.013.

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21

Holobar, A., V. Glaser, J. A. Gallego, J. L. Dideriksen, and D. Farina. "Non-invasive characterization of motor unit behaviour in pathological tremor." Journal of Neural Engineering 9, no. 5 (September 10, 2012): 056011. http://dx.doi.org/10.1088/1741-2560/9/5/056011.

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22

Luciani, Alain, Laurence Baranes, Thomas Decaens, Frederic Pigneur, Alexis Laurent, Jeanne Tran-Van Nhieu, and Alain Rahmouni. "Non-invasive diagnostic imaging of hepatocellular carcinoma: Targeting cellular characterization?" Journal of Hepatology 55, no. 1 (July 2011): 224–26. http://dx.doi.org/10.1016/j.jhep.2011.01.026.

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23

Bethune, James, Jackie Randell, Robert L. Runkel, and Kamini Singha. "Non-invasive flow path characterization in a mining-impacted wetland." Journal of Contaminant Hydrology 183 (December 2015): 29–39. http://dx.doi.org/10.1016/j.jconhyd.2015.10.002.

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24

Abbasi, Mostafa, Mohammed S. Barakat, Danny Dvir, and Ali N. Azadani. "A Non-Invasive Material Characterization Framework for Bioprosthetic Heart Valves." Annals of Biomedical Engineering 47, no. 1 (September 18, 2018): 97–112. http://dx.doi.org/10.1007/s10439-018-02129-5.

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25

Bamberger, Judith Ann, and Margaret S. Greenwood. "Non-invasive characterization of fluid foodstuffs based on ultrasonic measurements." Food Research International 37, no. 6 (July 2004): 621–25. http://dx.doi.org/10.1016/j.foodres.2004.03.005.

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26

Nguedjang Kouakeuo, S. H., B. Ducharne, A. Solignac, L. Morel, M. A. Raulet, B. Toutsop, Y. A. Tene Deffo, and P. Tsafack. "Non-invasive local magnetic hysteresis characterization of a ferromagnetic laminated core." Journal of Magnetism and Magnetic Materials 527 (June 2021): 167783. http://dx.doi.org/10.1016/j.jmmm.2021.167783.

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27

Deshours, F., G. Alquié, H. Kokabi, K. Rachedi, M. Tlili, S. Hardinata, and F. Koskas. "Improved microwave biosensor for non-invasive dielectric characterization of biological tissues." Microelectronics Journal 88 (June 2019): 137–44. http://dx.doi.org/10.1016/j.mejo.2018.01.027.

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28

Choolani, M. "Characterization of first trimester fetal erythroblasts for non-invasive prenatal diagnosis." Molecular Human Reproduction 9, no. 4 (April 1, 2003): 227–35. http://dx.doi.org/10.1093/molehr/gag027.

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29

Ramaswamy, Senthilkumar, Alan R. Greenberg, and Michael L. Peterson. "Non-invasive measurement of membrane morphology via UFDR: pore-size characterization." Journal of Membrane Science 239, no. 1 (August 2004): 143–54. http://dx.doi.org/10.1016/j.memsci.2003.08.030.

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30

Harada, Masafumi, Miki Tanouchi, Hiromu Nishitani, Hirokazu Miyoshi, Kazuhiko Bandou, and Seiji Kannuki. "Non-invasive Characterization of Brain Tumor byin-vivoProton Magnetic Resonance Spectroscopy." Japanese Journal of Cancer Research 86, no. 3 (March 1995): 329–32. http://dx.doi.org/10.1111/j.1349-7006.1995.tb03059.x.

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31

Babu-Narayan, Sonya V., Philip J. Kilner, and Alan G. Magee. "Heartache in adolescence – non-invasive tissue characterization with cardiovascular magnetic resonance." Cardiology in the Young 16, no. 6 (November 20, 2006): 604–5. http://dx.doi.org/10.1017/s104795110600117x.

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32

Yan, Yuqiang, Sergio Gonzalez-Cortes, Benzhen Yao, Daniel R. Slocombe, Adrian Porch, Fahai Cao, Tiancun Xiao, and Peter P. Edwards. "Rapid, non-invasive characterization of the dispersity of emulsions via microwaves." Chemical Science 9, no. 34 (2018): 6975–80. http://dx.doi.org/10.1039/c8sc00406d.

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33

Lawson, C. M., and R. R. Michael. "Fiber optic low-coherence interferometry for non-invasive silicon wafer characterization." Journal of Crystal Growth 137, no. 1-2 (March 1994): 37–40. http://dx.doi.org/10.1016/0022-0248(94)91243-2.

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34

Bonet-Carne, Elisenda, Edward Johnston, Alessandro Daducci, Joseph G. Jacobs, Alex Freeman, David Atkinson, David J. Hawkes, Shonit Punwani, Daniel C. Alexander, and Eleftheria Panagiotaki. "VERDICT-AMICO: Ultrafast fitting algorithm for non-invasive prostate microstructure characterization." NMR in Biomedicine 32, no. 1 (October 31, 2018): e4019. http://dx.doi.org/10.1002/nbm.4019.

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35

Ramaël, B., A. V. Salsac, and C. Knopf-Lenoir. "Characterization of arterial wall mechanical properties by a non-invasive method." Materialwissenschaft und Werkstofftechnik 48, no. 5 (May 2017): 430–38. http://dx.doi.org/10.1002/mawe.201700018.

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36

Saratxaga, Cristina L., Aintzane Asumendi, Jesús Gardeazabal, Rosa M. Izu, Ana Sanchez, Goikoana Cancho-Galan, Celia Morales, et al. "Melanoma and Nevi Subtype Histopathological Characterization with Optical Coherence Tomography." Life 13, no. 3 (February 23, 2023): 625. http://dx.doi.org/10.3390/life13030625.

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Background: Melanoma incidence has continued to rise in the latest decades, and the forecast is not optimistic. Non-invasive diagnostic imaging techniques such as optical coherence tomography (OCT) are largely studied; however, there is still no agreement on its use for the diagnosis of melanoma. For dermatologists, the differentiation of non-invasive (junctional nevus, compound nevus, intradermal nevus, and melanoma in-situ) versus invasive (superficial spreading melanoma and nodular melanoma) lesions is the key issue in their daily routine. Methods: This work performs a comparative analysis of OCT images using haematoxylin–eosin (HE) and anatomopathological features identified by a pathologist. Then, optical and textural properties are extracted from OCT images with the aim to identify subtle features that could potentially maximize the usefulness of the imaging technique in the identification of the lesion’s potential invasiveness. Results: Preliminary features reveal differences discriminating melanoma in-situ from superficial spreading melanoma and also between melanoma and nevus subtypes that pose a promising baseline for further research. Conclusions: Answering the final goal of diagnosing non-invasive versus invasive lesions with OCT does not seem feasible in the short term, but the obtained results demonstrate a step forward to achieve this.
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Iurilli, Pietro, Luigi Luppi, and Claudio Brivio. "Non-Invasive Detection of Lithium-Metal Battery Degradation." Energies 15, no. 19 (September 21, 2022): 6904. http://dx.doi.org/10.3390/en15196904.

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The application of Lithium Metal Batteries (LMBs) as secondary cells is still limited due to dendrite degradation mechanisms arising with cycling and responsible for safety risk and early cell failure. Studies to prevent and suppress dendritic growth using state-of-the-art materials are in continuous development. Specific detection techniques can be applied to verify the internal condition of new LMB chemistries through cycling tests. In this work, six non-invasive and BMS-triggerable detection techniques are investigated to anticipate LMB failures and to lay the basis for innovative self-healing mechanisms. The novel methodology is based on: (i) defining detection parameters to track the evolution of cell aging, (ii) defining a detection algorithm and applying it to cycling data, and (iii) validating the algorithm in its capability to detect failure. The proposed methodology is applied to Li||NMC pouch cells. The main outcomes of the work include the characterization results of the tested LMBs under different cycling conditions, the detection techniques performance evaluation, and a sensitivity analysis to identify the most performing parameter and its activation threshold.
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38

Bonhommeau, Sébastien. "Special Issue on “Raman Spectroscopy for Chemical and Structural Characterization in Biology”." International Journal of Molecular Sciences 23, no. 19 (October 4, 2022): 11795. http://dx.doi.org/10.3390/ijms231911795.

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39

Dal Fovo, Alice, Mohamed Oujja, Mikel Sanz, Alejandro Martínez-Hernández, Maria Vega Cañamares, Marta Castillejo, and Raffaella Fontana. "Multianalytical non-invasive characterization of phthalocyanine acrylic paints through spectroscopic and non-linear optical techniques." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 208 (February 2019): 262–70. http://dx.doi.org/10.1016/j.saa.2018.09.040.

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40

Rice, William L., Shamaraz Firdous, Sharad Gupta, Martin Hunter, Cheryl W. P. Foo, Yongzhong Wang, Hyeon Joo Kim, David L. Kaplan, and Irene Georgakoudi. "Non-invasive characterization of structure and morphology of silk fibroin biomaterials using non-linear microscopy." Biomaterials 29, no. 13 (May 2008): 2015–24. http://dx.doi.org/10.1016/j.biomaterials.2007.12.049.

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41

Marino, Maria Adele, Doris Leithner, Janice Sung, Daly Avendano, Elizabeth A. Morris, Katja Pinker, and Maxine S. Jochelson. "Radiomics for Tumor Characterization in Breast Cancer Patients: A Feasibility Study Comparing Contrast-Enhanced Mammography and Magnetic Resonance Imaging." Diagnostics 10, no. 7 (July 18, 2020): 492. http://dx.doi.org/10.3390/diagnostics10070492.

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The aim of our intra-individual comparison study was to investigate and compare the potential of radiomics analysis of contrast-enhanced mammography (CEM) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the breast for the non-invasive assessment of tumor invasiveness, hormone receptor status, and tumor grade in patients with primary breast cancer. This retrospective study included 48 female patients with 49 biopsy-proven breast cancers who underwent pretreatment breast CEM and MRI. Radiomics analysis was performed by using MaZda software. Radiomics parameters were correlated with tumor histology (invasive vs. non-invasive), hormonal status (HR+ vs. HR−), and grading (low grade G1 + G2 vs. high grade G3). CEM radiomics analysis yielded classification accuracies of up to 92% for invasive vs. non-invasive breast cancers, 95.6% for HR+ vs. HR− breast cancers, and 77.8% for G1 + G2 vs. G3 invasive cancers. MRI radiomics analysis yielded classification accuracies of up to 90% for invasive vs. non-invasive breast cancers, 82.6% for HR+ vs. HR− breast cancers, and 77.8% for G1+G2 vs. G3 cancers. Preliminary results indicate a potential of both radiomics analysis of DCE-MRI and CEM for non-invasive assessment of tumor-invasiveness, hormone receptor status, and tumor grade. CEM may serve as an alternative to MRI if MRI is not available or contraindicated.
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42

Kulasinghe, Arutha, Joanna Kapeleris, Carolina Cooper, Majid Ebrahimi Warkiani, Kenneth O’Byrne, and Chamindie Punyadeera. "Phenotypic Characterization of Circulating Lung Cancer Cells for Clinically Actionable Targets." Cancers 11, no. 3 (March 18, 2019): 380. http://dx.doi.org/10.3390/cancers11030380.

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Objectives: In non-small cell lung cancers (NSCLC), tumour biopsy can often be an invasive procedure. The development of a non-invasive methodology to study genetic changes via circulating tumour cells (CTCs) is an appealing concept. Whilst CTCs typically remain as rare cells, improvements in epitope-independent CTC isolation techniques has given rise to a greater capture of CTCs. In this cross sectional study, we demonstrate the capture and characterization of NSCLC CTCs for the clinically actionable markers epidermal growth factor receptor (EGFR) alterations, anaplastic lymphoma kinase (ALK) rearrangements and programmed death ligand-1 (PD-L1) expression. The study identified CTCs/CTC clusters in 26/35 Stage IV NSCLC patients, and subsequently characterized the CTCs for EGFR mutation, ALK status and PD-L1 status. This pilot study demonstrates the potential of a non-invasive fluid biopsy to determine clinically relevant biomarkers in NSCLC.
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43

Nakamura, Koki, Yuji Urabe, Kenichi Kagemoto, Ryo Yuge, Ryohei Hayashi, Atsushi Ono, C. Nelson Hayes, et al. "Genomic Characterization of Non-Invasive Differentiated-Type Gastric Cancer in the Japanese Population." Cancers 12, no. 2 (February 22, 2020): 510. http://dx.doi.org/10.3390/cancers12020510.

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Background and aims: Recent genomic characterization of gastric cancer (GC) by sequencing has revealed a large number of cancer-related genes. Research to characterize the genomic landscape of cancer has focused on established invasive cancer to develop biomarkers for therapeutic or diagnostic targets, and nearly all GC reports have been about advanced GC. The aim of this study is to identify recurrently mutated genes in non-invasive GC and, in particular, the driver mutations that are associated with the development of GC. Methods and results: We performed whole-exome sequencing of 19 fresh frozen specimens of differentiated-type non-invasive GC and targeted sequencing for 168 genes of 30 formalin-fixed paraffin-embedded archival specimens of differentiated-type non-invasive GC. We found that TP53 and LRP1 are significantly associated with non-invasive GC. It has been reported that LPR1 is associated with CagA autophagy in gastric mucosa. Therefore, we downloaded RNA sequence data for gastric cancer from the The Cancer Genome Atlas (TCGA) Genomic Data Commons Data Portal and examined the differences in LRP1 gene expression levels. The expression level was significantly lower in cases without LRP1 mutation than in cases with LRP1 mutation. Based on these results, fluorescent immunostaining for CagA was performed for 49 of the above samples to evaluate CagA accumulation within the cancerous tissue. Accumulation of CagA was significantly greater when an LRP1 mutation was present than without a mutation. Conclusion: These data suggest that LRP1 mutation is an important change promoting the transformation of gastric mucosa to GC early in the carcinogenesis of cancer.
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44

Ikhimiukor, Odion O., Anderson O. Oaikhena, Ayorinde O. Afolayan, Abayomi Fadeyi, Aderemi Kehinde, Veronica O. Ogunleye, Aaron O. Aboderin, et al. "Genomic characterization of invasive typhoidal and non-typhoidal Salmonella in southwestern Nigeria." PLOS Neglected Tropical Diseases 16, no. 8 (August 26, 2022): e0010716. http://dx.doi.org/10.1371/journal.pntd.0010716.

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Background Salmonellosis causes significant morbidity and mortality in Africa. Information on lineages of invasive Salmonella circulating in Nigeria is sparse. Methods Salmonella enterica isolated from blood (n = 60) and cerebrospinal fluid (CSF, n = 3) between 2016 and 2020 from five tertiary hospitals in southwest Nigeria were antimicrobial susceptibility-tested and Illumina-sequenced. Genomes were analysed using publicly-available bioinformatic tools. Results Isolates and sequence types (STs) from blood were S. Typhi [ST1, n = 1 and ST2, n = 43] and invasive non-typhoidal Salmonella (iNTS) (S. Enteritidis [ST11, n = 7], S. Durham [ST10, n = 2], S. Rissen [ST8756, n = 2], S. Chester [ST2063, n = 1], S. Dublin [ST10, n = 1], S. Infantis [ST603, n = 1], S. Telelkebir [ST8757, n = 1] and S. Typhimurium [ST313, n = 1]). S. Typhi ST2 (n = 2) and S. Adabraka ST8757 (n = 1) were recovered from CSF. Most S. Typhi belonged to genotype 3.1.1 (n = 44), carried an IncY plasmid, had several antibiotic resistance genes (ARGs) including blaTEM-1 (n = 38), aph(6)-Id (n = 32), tet(A) (n = 33), sul2 (n = 32), dfrA14 (n = 30) as well as quinolone resistance-conferring gyrA_S83Y single-nucleotide polymorphisms (n = 37). All S. Enteritidis harboured aph(3”)-Ib, blaTEM-1, catA1, dfrA7, sul1, sul2, tet(B) genes, and a single ARG, qnrB19, was detected in S. Telelkebir. Typhoidal toxins cdtB, pltA and pltB were detected in S. Typhi, Rissen, Chester, and Telelkebir. Conclusion Most invasive salmonelloses in southwest Nigeria are vaccine-preventable infections due to multidrug-resistant, West African dominant S. Typhi lineage 3.1.1. Invasive NTS serovars, including some harbouring typhoidal toxin or resistance genes, represented a third of the isolates emphasizing the need for better diagnosis and surveillance.
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DULAMA, IOANA DANIELA, CRISTIANA RADULESCU, IOAN ALIN BUCURICA, SOFIA SLAMNOIU-TEODORESCU, RALUCA MARIA STIRBESCU, VALENTINA VOINEA, VALENTIN RADU, and MONICA MARGARIT. "NON-INVASIVE ANALYTICAL TECHNIQUES APPLIED ON PIGMENTS CHARACTERIZATION OF ANCIENT BIVALVE SHELLS." Journal of Science and Arts 21, no. 4 (December 30, 2021): 1121–32. http://dx.doi.org/10.46939/j.sci.arts-21.4-b07.

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Abstract:
In this paper was studied eight bivalve shells (with pigments traces) collected from Cheia archaeological site (Eneolitihic site, dated between the end of the 6th millennium and the beginning of the 5th millennium cal BC, Romania), in order to established correlations related to morphology, composition, longevity and belonging to the archaeological site of these shells. The samples (pigments and shells) were investigated, from morphological and chemical composition point of view, by optical microscopy, scanning electron microscopy coupled with energy dispersive spectroscopy (SEM-EDS), and attenuated total reflectance - Fourier transform infrared (ATR-FTIR) spectroscopy, respectively. Principal component analysis (PCA) and cluster analysis (CA) were carry out using IBM SPSS Statistics software to assess the similarities between the investigated samples
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46

Yuan, Chao, James W. Pomeroy, and Martin Kuball. "Above bandgap thermoreflectance for non-invasive thermal characterization of GaN-based wafers." Applied Physics Letters 113, no. 10 (September 3, 2018): 102101. http://dx.doi.org/10.1063/1.5040100.

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Tromberg, Bruce J., Natasha Shah, Ryan Lanning, Albert Cerussi, Jennifer Espinoza, Tuan Pham, Lars Svaasand, and John Butler. "Non-Invasive In Vivo Characterization of Breast Tumors Using Photon Migration Spectroscopy." Neoplasia 2, no. 1-2 (January 2000): 26–40. http://dx.doi.org/10.1038/sj.neo.7900082.

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Collinot, Jean-Aibert, Tristan Pascart, Jean-François Budzik, Thomas Hügle, Michel Hussenot, and Fabio Becce. "Non-invasive characterization of intra-articular mineralization using dual-energy computed tomography." Rheumatology 59, no. 12 (June 13, 2020): 3997–98. http://dx.doi.org/10.1093/rheumatology/keaa231.

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Costet, Alexandre, Elaine Wan, Lea Melki, Ethan Bunting, Julien Grondin, Hasan Garan, and Elisa Konofagou. "Non-invasive Characterization of Focal Arrhythmia with Electromechanical Wave Imaging in Vivo." Ultrasound in Medicine & Biology 44, no. 11 (November 2018): 2241–49. http://dx.doi.org/10.1016/j.ultrasmedbio.2018.06.006.

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Titubante, M., F. Giannini, A. Pasqualucci, M. Romani, G. Verona-Rinati, C. Mazzuca, and L. Micheli. "Towards a non-invasive approach for the characterization of Arabic/Christian manuscripts." Microchemical Journal 155 (June 2020): 104684. http://dx.doi.org/10.1016/j.microc.2020.104684.

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