Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Phillip, Vargas"'
Autor:
Asadolah Movahedan, Phillip Vargas, John Moir, Gabriel Kaufmann, Lindsay Chun, Claire Smith, Nathalie Massamba, Patrick La Riviere, Dimitra Skondra
Publikováno v:
Cells, Vol 11, Iss 12, p 1934 (2022)
Computerized texture analysis uses higher-order mathematics to identify patterns beyond what the naked eye can recognize. We tested its feasibility in optical coherence tomography angiography imaging of choriocapillaris. Our objective was to determin
Externí odkaz:
https://doaj.org/article/9b703f55b3384d30a3f5a20e24cc4c76
Autor:
Yifu Ding, Daniel J Vanselow, Maksim A Yakovlev, Spencer R Katz, Alex Y Lin, Darin P Clark, Phillip Vargas, Xuying Xin, Jean E Copper, Victor A Canfield, Khai C Ang, Yuxin Wang, Xianghui Xiao, Francesco De Carlo, Damian B van Rossum, Patrick La Riviere, Keith C Cheng
Publikováno v:
eLife, Vol 8 (2019)
Organismal phenotypes frequently involve multiple organ systems. Histology is a powerful way to detect cellular and tissue phenotypes, but is largely descriptive and subjective. To determine how synchrotron-based X-ray micro-tomography (micro-CT) can
Externí odkaz:
https://doaj.org/article/a4fe8abecd5345ed8e6fd5e965f76360
Autor:
Keri, Donaldson, Jeanine M, Buchanich, Patricia Sue, Grigson, Erin, Deneke, Kent E, Vrana, David B, Sacks, Gregory J, Kuehn, David, Cardamone, Amadeo, Pesce, Sarah, Smiley, Joyce, Nickley, Kevin, Krock, Richard, Thomas, Myra L, Wilkerson, Hosam A, Farag, Sashi Rameswara, Challa, Ann Marie, Tice, Donna M, Wolk, Jeffrey, Prichard, Michelle L, Grant, Sandeep, Regmi, Brian, Kerbacher, Lawrence E, Quinton, A M, Tice, Jordan, Olson, Amanda, Haynes, Elsie, Yu, Kilmer S, McCully, Jasmeet, Assi, Myra, Wong, Neda, Zarrin-Khameh, Thomas P, Nifong, Charles D, Hawker, George T, Carlton, Julia M, Rivera, Philip R, Foulis, Aleksandra, Zuraw, Diana, Morlote, Deniz, Peker, Vishnu, Reddy, Shuko, Harada, Chris, Crutchfield, Dani, Zander, Mustafa A, Barbhuiya, Edward C, Pederson, Monica L, Straub, Sofia C, Scott, Terri L, Neibauer, Wayne F, Salter, Michael H, Creer, Yusheng, Zhu, Joshua A, Bornhorst, J Paul, Theobald, Alicia, Algeciras-Schimnich, Liyun, Cao, James, Knox, Robert, Hardy, Hicks J, Texas, Mary F, McGuire, Robert L, Hunter, Robert E, Brown, John, Hicks, Zhenjian, Cai, Yasir, Ali, Keith C, Cheng, Spencer R, Katz, Yifu, Ding, Daniel J, Vanselow, Maxsim A, Yakovlev, Alex Y, Lin, Darin P, Clark, Phillip, Vargas, Xuying, Xin, Jean E, Copper, Victor A, Canfield, Khai C, Ang, Yuxin, Wang, Xianghui, Xiao, Francesco, De Carlo, Damian B, van Rossum, Patrick J, La Rivière, Jordan, Newell, Carrie, Hossler, Michael, Roche, Joshua, Warrick, Rebecca, Phaeton, Josh, Kesterson, Charlotte, Myers, Roberto, Barrios, Paul, Mintz, Kimberly, Robyak, Christopher, Hamilton, Pamela, McGhee, Christopher, Pederson, Monica, Straub, Sofia, Scott, Terri, Neibauer, Wayne, Salter, Michael, Creer, Nirupama, Singh, Cindy, Vnencak-Jones, Anna, Yemelyanova, Mauli, Shah, Soheil Zorofchian, Moghadamtousi, Chieh, Lan, Dzifa, Duose, Peter, Hu, Yoshua, Esquenazi, Rajyalakshmi, Luthra, Leomar Y, Ballester, Annie N, Koenig, Chang-Gong, Liu, Jianhua, Zhang, Awdhesh, Kalia, Ali, Al-Habib, Melissa, Van Arsdall, Sadhna, Dhingra, Kalyani, Patel, Nina, Tatevian
Publikováno v:
Annals of clinical and laboratory science. 49(3)
Autor:
Xianghui Xiao, Yuxin Wang, Francesco De Carlo, Darin P. Clark, Victor A. Canfield, Daniel J. Vanselow, Khai C. Ang, Keith C. Cheng, Patrick J. La Riviere, Phillip Vargas, Alex Y. Lin, Xuying Xin, Yifu Ding, Jean E. Copper, Damian B. van Rossum, Maksim A Yakovlev, Spencer R Katz
Publikováno v:
eLife, Vol 8 (2019)
eLife
eLife
Organismal phenotypes frequently involve multiple organ systems. Histology is a powerful way to detect cellular and tissue phenotypes, but is largely descriptive and subjective. To determine how synchrotron-based X-ray micro-tomography (micro-CT) can
Autor:
Patrick J. La Riviere, Xuying Xin, Damian B. van Rossum, Khai C. Ang, Maksim A Yakovlev, Yifu Ding, Daniel J. Vanselow, Jean E. Copper, Xianghui Xiao, Victor A. Canfield, Spencer R Katz, Alex Y. Lin, Darin P. Clark, Francesco De Carlo, Keith C. Cheng, Yuxin Wang, Phillip Vargas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc83ad72b2c2f5656c4c997917a582a1
https://doi.org/10.7554/elife.44898.035
https://doi.org/10.7554/elife.44898.035
Publikováno v:
IEEE Transactions on Nuclear Science. 62:2310-2317
X-ray fluorescence computed tomography (XFCT) is an emerging imaging modality that maps the three-dimensional distribution of elements, generally metals, in ex vivo specimens and potentially in living animals and humans. Building on our previous sync
Autor:
Keith C. Cheng, Spencer R Katz, Francesco De Carlo, Phillip Vargas, Alex Y. Lin, Yuxin Wang, Patrick J. La Riviere, Xuying Xin, Khai C. Ang, Darin P. Clark, Jean E. Copper, Yifu Ding, Victor A. Canfield, Daniel J. Vanselow, Xianghui Xiao, Damian B. van Rossum, Maksim A Yakovlev
Histological studies providing cellular insights into tissue architecture have been central to biological discovery and remain clinically invaluable today. Extending histology to three dimensions would be transformational for research and diagnostics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::050a621cd9f7b310175bfef36a48fff9
Publikováno v:
Physics in Medicine and Biology. 60:8025-8045
We demonstrate that a dual-layer, dual-color scintillator construct for microscopic CT, originally proposed to increase sensitivity in synchrotron imaging, can also be used to perform material quantification and classification when coupled with polyc
Autor:
Phillip Vargas, P.J. La Riviere
Publikováno v:
IEEE Transactions on Medical Imaging. 27:1333-1341
Most X-ray tubes comprise a rotating anode that is bombarded with electrons to produce X-rays. A substantial amount of heat is generated, and to increase the area of the anode exposed to the electrons, without increasing the apparent size of the foca
Autor:
Phillip Vargas, P.J. La Riviere
Publikováno v:
IEEE Transactions on Medical Imaging. 25:1117-1129
In this paper, we derive a monotonic penalized-likelihood algorithm for image reconstruction in X-ray fluorescence computed tomography (XFCT) when the attenuation maps at the energies of the fluorescence X-rays are unknown. In XFCT, a sample is irrad