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COMPUTATIONAL PROCESSING FOR MULTIPHOTON MICROSCOPY


LEFORT CLAIRE 1*, EMILIE CHOUZENOUX2, 3, JEAN-CHRISTOPHE PESQUET3
1 CNRS, UMR 7252, Institut de Recherche XLIM, Université de Limoges, France
2 Centre de vision numérique, CentraleSupélec; INRIA, Saclay, Université Paris Saclay, France
3 Laboratoire d’informatique Gaspard Monge, UMR CNRS 8049, UniversitĂ© Paris-Est Marne-la-VallĂ©e, France

Issue:

PLUMEE, Number 1, Volume IX

Section:

Issue No.1 - Volume 9 (2019)

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.

Keywords:

Multiphoton microscopy, computational processing, image restoration for life sciences imaging.

Code [ID]:

PLUMEE201901V09S01A0024 [0004992]

Note:

DOI:

Full paper:

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