Segmenting and tracking fluorescent cells in dynamic 3-D microscopy with coupled active surfaces

Autor: Jean-Christophe Olivo-Marin, Shahragim Tajbakhsh, Alexandre Dufour, N. Guillen-Aghion, Christophe Zimmer, Vasily Shinin
Přispěvatelé: Analyse d'Images Quantitative, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Cellules Souches et Développement, Biologie cellulaire du parasitisme, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur [Paris], Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM)
Rok vydání: 2005
Předmět:
MESH: Subtraction Technique
Computer science
MESH: Microscopy
Fluorescence
02 engineering and technology
Tracking (particle physics)
Pattern Recognition
Automated
Cell Movement
Microscopy
0202 electrical engineering
electronic engineering
information engineering
MESH: Pattern Recognition
Automated
Computer vision
Segmentation
MESH: Cell Movement
0303 health sciences
Biological data
Signal processing
Active contour model
Microscopy
Video
Computer Graphics and Computer-Aided Design
Fluorescence
[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Biomolecules [q-bio.BM]
MESH: Reproducibility of Results
020201 artificial intelligence & image processing
MESH: Image Enhancement
Algorithms
Feature extraction
MESH: Algorithms
MESH: Imaging
Three-Dimensional
Models
Biological
Sensitivity and Specificity
Edge detection
03 medical and health sciences
Imaging
Three-Dimensional
MESH: Computer Simulation
Artificial Intelligence
Robustness (computer science)
Image Interpretation
Computer-Assisted
Medical imaging
medicine
MESH: Artificial Intelligence
Computer Simulation
[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry
Molecular Biology/Biochemistry [q-bio.BM]
030304 developmental biology
business.industry
MESH: Models
Biological
Reproducibility of Results
Cancer
Image Enhancement
medicine.disease
MESH: Sensitivity and Specificity
MESH: Microscopy
Video
Microscopy
Fluorescence
Subtraction Technique
Artificial intelligence
business
MESH: Image Interpretation
Computer-Assisted
Software
Zdroj: IEEE Transactions on Image Processing
IEEE Transactions on Image Processing, 2005, 14 (9), pp.1396-410. ⟨10.1109/TIP.2005.852790⟩
IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2005, 14 (9), pp.1396-410. ⟨10.1109/TIP.2005.852790⟩
ISSN: 1057-7149
DOI: 10.1109/tip.2005.852790
Popis: International audience; Cell migrations and deformations play essential roles in biological processes, such as parasite invasion, immune response, embryonic development, and cancer. We describe a fully automatic segmentation and tracking method designed to enable quantitative analyses of cellular shape and motion from dynamic three-dimensional microscopy data. The method uses multiple active surfaces with or without edges, coupled by a penalty for overlaps, and a volume conservation constraint that improves outlining of cell/cell boundaries. Its main advantages are robustness to low signal-to-noise ratios and the ability to handle multiple cells that may touch, divide, enter, or leave the observation volume. We give quantitative validation results based on synthetic images and show two examples of applications to real biological data.
Databáze: OpenAIRE
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