MORPHEME - 2016 - Annual activity report

MORPHEME

MORPHEME - 2016

Project-Team Morpheme

Members

Overall Objectives

Research Program

Research Program

New Software and Platforms

SPADE: Small PArticle DEtection

New Results

Multi-Angle TIRF reconstruction for studying the cell adhesion phenomenon
Exact continuous penalties for $ℓ_{2}$ - $ℓ_{0}$ minimization: Application to Photo Activated Localization Microscopy (PALM)
Exact continuous penalties for $ℓ_{2}$ - $ℓ_{0}$ minimization: Application to Channel and Direction Of Arrival (DOA) estimation problems
Phase estimation in Differential Interference Contrast (DIC) microscopy
White Blood Cells Segmentation and Classification in Bone Marrow Images
Classification of the extracellular matrix
CNuclei/cytoplasm detection and classification in genome-wide RNAi screens
Small Particle Detection
Inter-individual spatio-temporal registration strategies applied to 3D microscopy image sequences of Arabidopsis floral meristems
Coherent temporal extrapolation of labeled images
3D/2D Coronary Arteries dynamic registration
Modelling axon growth from in vivo data

Bilateral Contracts and Grants with Industry

Bilateral Contracts with Industry

Partnerships and Cooperations

Regional Initiatives
National Initiatives
European Initiatives
International Research Visitors

Dissemination

Promoting Scientific Activities
Teaching - Supervision - Juries
Popularization

Bibliography

Publications of the year

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Section: New Software and Platforms

SPADE: Small PArticle DEtection

Functional Description SPADE is an algorithm primarily designed to detect objects whose size is smaller than a few pixels (particles) on fluorescence microscopy images. It is a simplified version of a marked point process based on a shape dictionnary.

Participants: N. Cedilnik, E. Debreuve, and X. Descombes
Contact: Xavier Descombes

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