Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lucio Azzari"'
Publikováno v:
Bio-Protocol, Vol 14, Iss 18 (2024)
Expansion microscopy (ExM) has significantly reformed the field of super-resolution imaging, emerging as a powerful tool for visualizing complex cellular structures with nanoscale precision. Despite its capabilities, the epitope accessibility, labeli
Externí odkaz:
https://doaj.org/article/db8cd56a455f4e3596f9ea11ca099410
Autor:
Suvi Santa-aho, Mari Honkanen, Sami Kaappa, Lucio Azzari, Andrey Saren, Kari Ullakko, Lasse Laurson, Minnamari Vippola
Publikováno v:
Materials & Design, Vol 234, Iss , Pp 112308- (2023)
Two steels, ferrite and ferrite-pearlite were thoroughly characterized by a multi-instrumental microscopy techniques to get detailed information about their microstructure and magnetic structure. Microstructural features act as pinning sites for the
Externí odkaz:
https://doaj.org/article/4db6ea683915466e8af123fe9553e47a
Autor:
Elina Mäntylä, Toni Montonen, Lucio Azzari, Salla Mattola, Markus Hannula, Maija Vihinen-Ranta, Jari Hyttinen, Minnamari Vippola, Alessandro Foi, Soile Nymark, Teemu O. Ihalainen
Investigation of nuclear lamina architecture relies on super-resolved microscopy. However, epitope accessibility, labeling density, and detection precision of individual molecules pose challenges within the molecularly crowded nucleus. We developed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::431c20e91c1de15a0a8476c2ffa26d1f
https://doi.org/10.1101/2022.09.27.509734
https://doi.org/10.1101/2022.09.27.509734
Collaborative filters perform denoising through transform-domain shrinkage of a group of similar patches extracted from an image. Existing collaborative filters of stationary correlated noise have all used simple approximations of the transform noise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b21006eca41e00c50e1af678cb232890
https://trepo.tuni.fi/handle/10024/130603
https://trepo.tuni.fi/handle/10024/130603
Publikováno v:
ICIP
Collaborative filters perform denoising through transform-domain shrinkage of a group of similar blocks extracted from an image. Existing methods for collaborative filtering of stationary correlated noise have all used simple approximations of the tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd002171f27b44c48f388e76ec56fa4e
https://doi.org/10.1109/icip.2019.8802964
https://doi.org/10.1109/icip.2019.8802964
Autor:
Alessandro Foi, Lucio Azzari
Publikováno v:
IEEE Signal Processing Letters. 23:1086-1090
We denoise Poisson images with an iterative algorithm that progressively improves the effectiveness of variance-stabilizing transformations (VST) for Gaussian denoising filters. At each iteration, a combination of the Poisson observations with the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::186bb4773c7347f0fa1babc2067f086a
https://doi.org/10.1109/lsp.2016.2580600
https://doi.org/10.1109/lsp.2016.2580600
Publikováno v:
Denoising of Photographic Images and Video ISBN: 9783319960289
The additive white Gaussian noise (AWGN) model is ubiquitous in signal processing. This model is often justified by central-limit theorem (CLT) arguments. However, whereas the CLT may support a Gaussian distribution for the random errors, it does not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afcaab3b365ff4e7fa1317f2115e8992
https://trepo.tuni.fi/handle/10024/129394
https://trepo.tuni.fi/handle/10024/129394
Autor:
Alessandro Foi, Lucio Azzari
Publikováno v:
ISBI
We consider the restoration of blurred images corrupted by Poisson noise using variance-stabilizing transformations (VST). Although VST are an established tool used extensively for denoising, their adoption in deconvolution problems is problematic be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d7ac27bf1539d91d3de9c010fc20f7
https://doi.org/10.1109/isbi.2017.7950622
https://doi.org/10.1109/isbi.2017.7950622
Autor:
Alessandro Foi, Lucio Azzari
Publikováno v:
IEEE Transactions on Image Processing. 23:3459-3467
We consider the estimation of signal-dependent noise from a single image. Unlike conventional algorithms that build a scatterplot of local mean-variance pairs from either small or adaptively selected homogeneous data samples, our proposed approach re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28c24f0b8f7b2695b296d891c28d67c4
https://doi.org/10.1109/tip.2014.2321504
https://doi.org/10.1109/tip.2014.2321504
Autor:
Alessandro Foi, Lucas R. Borges, Marcelo Andrade da Costa Vieira, Andrew D. A. Maidment, Predrag R. Bakic, Lucio Azzari
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
In breast cancer screening, the radiation dose must be kept to the minimum necessary to achieve the desired diagnostic objective, thus minimizing risks associated with cancer induction. However, decreasing the radiation dose also degrades the image q
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5523ae6b68ff90ebda2e7e29f4a1a85
https://doi.org/10.1088/1361-6501/aab2f6
https://doi.org/10.1088/1361-6501/aab2f6