Biomedical Engineering Interest Group: Difference between revisions
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== News == | == News == | ||
=== Joint ISR/IMM seminar in Biomedical Engineering === | |||
Edíficio Egas Moniz, Hospital de Santa Maria | |||
'''Dia ? de Abril de 2008 às ?? horas''' | |||
'''First Talk:''' José Rino (IMM) (joserino@gmail.com) | |||
'''Title:''' | |||
'''Abstract:''' | |||
---- | |||
'''Second Talk:''' João Sanches (ISR) (jmrs@isr.ist.utl.pt) | |||
'''Title:''' Sequence Denoising of Fluorescence Confocal Microscopy Images with Anisotropic Filtering. | |||
'''Abstract:''' Fluorescence Confocal Microscopy (FCM) is one of the most important tools in biomedicine research. In fact, it makes possible to accurately study the dynamic processes occurring inside the cell and its nucleus by following the motion of fluorescent molecules along the time. Due to the small amount of acquired radiation and the huge optical and electronics amplification, the FCM images are usually corrupted by a severe type of Poisson noise. This noise may be even more damaging when very low intensity incident radiation is used to avoid phototoxicity. In this talk a Bayesian algorithm is described to remove the Poisson multiplicative noise corrupting the FCM images. The observations are organized in a 3D tensor where each plane is one of the images acquired along the time of a cell using the Fluorescence Loss In Photobleaching (FLIP) technique. The method removes simultaneously the noise by considering different spatial and temporal correlations. This is done by using an anisotropic 3D filter that may be separately tuned in space and time dimensions. | |||
== People == | == People == |
Revision as of 11:01, 16 April 2008
News
Joint ISR/IMM seminar in Biomedical Engineering
Edíficio Egas Moniz, Hospital de Santa Maria Dia ? de Abril de 2008 às ?? horas
First Talk: José Rino (IMM) (joserino@gmail.com)
Title:
Abstract:
Second Talk: João Sanches (ISR) (jmrs@isr.ist.utl.pt)
Title: Sequence Denoising of Fluorescence Confocal Microscopy Images with Anisotropic Filtering.
Abstract: Fluorescence Confocal Microscopy (FCM) is one of the most important tools in biomedicine research. In fact, it makes possible to accurately study the dynamic processes occurring inside the cell and its nucleus by following the motion of fluorescent molecules along the time. Due to the small amount of acquired radiation and the huge optical and electronics amplification, the FCM images are usually corrupted by a severe type of Poisson noise. This noise may be even more damaging when very low intensity incident radiation is used to avoid phototoxicity. In this talk a Bayesian algorithm is described to remove the Poisson multiplicative noise corrupting the FCM images. The observations are organized in a 3D tensor where each plane is one of the images acquired along the time of a cell using the Fluorescence Loss In Photobleaching (FLIP) technique. The method removes simultaneously the noise by considering different spatial and temporal correlations. This is done by using an anisotropic 3D filter that may be separately tuned in space and time dimensions.
People
Publications
Medical Imaging
Ultrasound
Carotid
Liver
Heart
MRI
fMRI
DCE-MRI
Heart
Denoising / Deblurring
Neurosciences
fMRI
Neurophysiology
Biological Imaging
Fluorescence Confocal Microscopy
FLIP/FRAP
Bright Field Microscopy
Karyotyping
Biomedical signal processing