Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Charles Kervran"'
Autor:
Emmanuel Moebel, Charles Kervrann
Publikováno v:
Journal of Structural Biology: X, Vol 4, Iss , Pp 100013- (2020)
We propose a statistical method to address an important issue in cryo-electron tomography image analysis: reduction of a high amount of noise and artifacts due to the presence of a missing wedge (MW) in the spectral domain. The method takes as an inp
Externí odkaz:
https://doaj.org/article/59bc28e30c6d4cde8e9c217b51559f51
Autor:
Antoine Basset, Patrick Bouthemy, Jérôme Boulanger, François Waharte, Jean Salamero, Charles Kervrann
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-10 (2017)
Abstract Background Characterizing membrane dynamics is a key issue to understand cell exchanges with the extra-cellular medium. Total internal reflection fluorescence microscopy (TIRFM) is well suited to focus on the late steps of exocytosis at the
Externí odkaz:
https://doaj.org/article/7c49a51eccc44918bfb2bc9654c3005d
Publikováno v:
PLoS ONE, Vol 5, Iss 10, p e13190 (2010)
Automatic detection and characterization of molecular behavior in large data sets obtained by fast imaging in advanced light microscopy become key issues to decipher the dynamic architectures and their coordination in the living cell. Automatic quant
Externí odkaz:
https://doaj.org/article/eb0d6160b72c4da4934b67d2bfc6a23e
Autor:
Sylvain Prigent, Hoai-Nam Nguyen, Ludovic Leconte, Cesar Augusto Valades-Cruz, Bassam Hajj, Jean Salamero, Charles Kervrann
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-21 (2023)
Abstract Modern fluorescent microscopy imaging is still limited by the optical aberrations and the photon budget available in the specimen. A direct consequence is the necessity to develop flexible and “off-road” algorithms in order to recover st
Externí odkaz:
https://doaj.org/article/b52434e26756432784c634c0ecdc1942
Publikováno v:
Frontiers in Bioinformatics, Vol 3 (2023)
The analysis of multidimensional time-varying datasets faces challenges, notably regarding the representation of the data and the visualization of temporal variations. We propose an extension of the well-known Space-Time Cube (STC) visualization tech
Externí odkaz:
https://doaj.org/article/fcf4d042a65b4565951fe7278e5e84dd
Publikováno v:
Biological Imaging, Vol 3 (2023)
Generators of space-time dynamics in bioimaging have become essential to build ground truth datasets for image processing algorithm evaluation such as biomolecule detectors and trackers, as well as to generate training datasets for deep learning algo
Externí odkaz:
https://doaj.org/article/d028b08ac1c24554b42072140f1c2c21
Publikováno v:
Biological Imaging, Vol 3 (2023)
The dynamics and fusion of vesicles during the last steps of exocytosis are not well established yet in cell biology. An open issue is the characterization of the diffusion process at the plasma membrane. Total internal reflection fluorescence micros
Externí odkaz:
https://doaj.org/article/86f623d0385445408c20b071fa46859c
Autor:
Cesar Augusto Valades-Cruz, Ludovic Leconte, Gwendal Fouche, Thomas Blanc, Nathan Van Hille, Kevin Fournier, Tao Laurent, Benjamin Gallean, Francois Deslandes, Bassam Hajj, Emmanuel Faure, Ferran Argelaguet, Alain Trubuil, Tobias Isenberg, Jean-Baptiste Masson, Jean Salamero, Charles Kervrann
Publikováno v:
Frontiers in Bioinformatics, Vol 2 (2022)
Microscopy image observation is commonly performed on 2D screens, which limits human capacities to grasp volumetric, complex, and discrete biological dynamics. With the massive production of multidimensional images (3D + time, multi-channels) and der
Externí odkaz:
https://doaj.org/article/8e48988836774212be2462420a9a5a7c
Publikováno v:
Bio-Protocol, Vol 10, Iss 21 (2020)
The α-β tubulin heterodimer undergoes subtle conformational changes during microtubule assembly. These can be modulated by external factors, whose effects on microtubule structure can be characterized on 2D views obtained by cryo-electron microscop
Externí odkaz:
https://doaj.org/article/697cb903a33445dda34cc5bd0f49b51c
Publikováno v:
BMC Bioinformatics, Vol 19, Iss 1, Pp 1-23 (2018)
Abstract Background Over the last two decades, an innovative technology called Tissue Microarray (TMA), which combines multi-tissue and DNA microarray concepts, has been widely used in the field of histology. It consists of a collection of several (u
Externí odkaz:
https://doaj.org/article/141e1b168d37486faeca8a1410bfa9e4