Abstract
Multiphoton microscopy (MPM) is a tool highly involved in biological imaging.
Its physical principle is associated to a reduced resolution compared to more standard
systems: a micrometer in radial direction and few micrometers in axial direction. Here, we
propose a computational approach in order to restore multiphoton images. The pipeline
processing strategy is gathered into our algorithme FIGARO where microbeads are imaged
and estimated. The tartegy is besed on a variational approach in order to generate a
multivariate gaussian fitting procedure presenting a high level of robustness to noise and
blur, indispensable in MPM.
Cuvinte cheie
Multiphoton microscopy
computational processing
image restoration for life sciences
imaging.