Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Muthuvel Arigovindan"'
Publikováno v:
IEEE Access, Vol 10, Pp 58163-58180 (2022)
Regularization plays a crucial role in reliably utilizing imaging systems for scientific and medical investigations. It helps to stabilize the process of computationally undoing any degradation caused by physical limitations of the imaging process. I
Externí odkaz:
https://doaj.org/article/89e987c03d0a4b269d5b1a342089fb15
Autor:
Michael Elbaum, Herbert G. Kasler, John W. Sedat, Hu Cang, Cornelis Murre, Angus McDonald, Eric Verdin, Muthuvel Arigovindan
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 20
A molecular architecture is proposed for an example mitotic chromosome, human Chromosome 10. This architecture is built on a previously described interphase chromosome structure based on Cryo-EM cellular tomography (1), thus unifying chromosome struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d84184846f4c67d888e10d15dd3212a
https://doi.org/10.1073/pnas.2119107119
https://doi.org/10.1073/pnas.2119107119
Autor:
Matthew Croxford, Michael Elbaum, Muthuvel Arigovindan, Zvi Kam, David Agard, Elizabeth Villa, John Sedat
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 50
Proceedings of the National Academy of Sciences of the United States of America, vol 118, iss 50
Significance Cellular cryo-electron tomography suffers from severely compromised Z resolution due to the missing wedges of information not collected during the acquisition of tilt series. This paper shows that application of entropy-regularized decon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b35bc87268a7a480f36068e6410ec175
http://europepmc.org/articles/PMC8685678
http://europepmc.org/articles/PMC8685678
Autor:
Cornelis Murre, Joseph S. Lucas, Angus McDonald, Zvi Kam, John W. Sedat, Hu Cang, Michael Elbaum, Muthuvel Arigovindan
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 26
Cryoelectron tomography of the cell nucleus using scanning transmission electron microscopy and deconvolution processing technology has highlighted a large-scale, 100- to 300-nm interphase chromosome structure, which is present throughout the nucleus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37ce05fc30a3a9b606872dfbe4814a8b
https://doi.org/10.1101/2021.10.08.463051
https://doi.org/10.1101/2021.10.08.463051
Autor:
John W. Sedat, David A. Agard, Muthuvel Arigovindan, Michael Elbaum, Kam Z, Croxford M, Elizabeth Villa
Cryo-electron tomography (cryo-ET) allows for the high resolution visualization of biological macromolecules. However, the technique is limited by a low signal-to-noise ratio (SNR) and variance in contrast at different frequencies, as well as reduced
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0261b2a031d5f582e7b97646a4af31c9
https://doi.org/10.1101/2021.04.26.441469
https://doi.org/10.1101/2021.04.26.441469
Autor:
Muthuvel Arigovindan, Manu Ghulyani
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 30
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by additive Gaussian noise. While total variation and related regularization methods for solving biomedical inverse problems are known to yield high qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0c65a812c66ba5d8fce7c7bc4e81e3f
https://pubmed.ncbi.nlm.nih.gov/33095714
https://pubmed.ncbi.nlm.nih.gov/33095714
Publikováno v:
IEEE Transactions on Image Processing. 26:4471-4482
We develop a novel optimization algorithm, which we call nested non-linear conjugate gradient (CG) algorithm (NNCG), for image restoration based on quadratic data fitting and smooth non-quadratic regularization. The algorithm is constructed as a nest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1c32b6e20214999f1320680cfd1f410
https://doi.org/10.1109/tip.2017.2717182
https://doi.org/10.1109/tip.2017.2717182
Total Variation (TV) and related extensions have been popular in image restoration due to their robust performance and wide applicability. While the original formulation is still relevant after two decades of extensive research, its extensions that c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0658331a05551c9cb01f32d69a8b1259
Autor:
Sandeep Kumar Kalva, Nadaparambil Aravindakshan Rejesh, Manojit Pramanik, Muthuvel Arigovindan
Publikováno v:
Journal of Instrumentation. 15:P12028-P12028
We propose a model-based image reconstruction method for photoacoustic tomography(PAT) involving a novel form of regularization and demonstrate its ability to recover good quality images from significantly reduced size datasets. The regularization is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba2c8cfbf00a5336c4c03b5deb05ab91
https://doi.org/10.1088/1748-0221/15/12/p12028
https://doi.org/10.1088/1748-0221/15/12/p12028
Autor:
Manu Ghulyani, Muthuvel Arigovindan
Publikováno v:
ISBI
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by additive Gaussian noise. MLE based restoration methods that use the exact Likelihood function for this mixed model with non-quadratic regularization are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95de4797b82d4ebbb4b053f2bce19c4f
https://doi.org/10.1109/isbi.2018.8363801
https://doi.org/10.1109/isbi.2018.8363801