Adaptive mitosis detection in large in vitro stem cell populations using timelapse microscopy

Informatik aktuell

Volumn , Issue , 2011, Pages 49-53

  Becker, Tim ^a,b   Rapoport, Daniel H ^a   Mamlouk, Amir Madany ^b  

^a Fraunhofer Institute for Marine Biotechnology   (Germany)

^b UNIVERSITY OF LÜBECK   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE VERSIONS; AUTOMATED ANALYSIS; CELL POPULATIONS; MITOSIS DETECTIONS; MORPHOLOGICAL CHANGES; ROBUST DETECTION; STEM CELL THERAPY; TIME-LAPSE MICROSCOPY;

CELL CULTURE; CELL PROLIFERATION; IMAGE PROCESSING; STEM CELLS;

DETECTORS;

EID: 84884663829     PISSN: 1431472X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-19335-4_12     Document Type: Conference Paper

References (5)

1. Li K, Chen M, Kanade T., et al Cell population tracking and lineage construction with spatiotemporal context. Med Image Anal. 2008; 12(1): 546-66.
2. Debeir O, Milojevic D, Leloup T., et al Mitotic tree construction by computer in vitro cell tracking: a tool for proliferation and motility features extraction. In: Proc EUROCON; 2005. p. 951-4.
3. yang F, michael a mackey, fiorenza ianzini, et al. Cell segmentation, tracking, and mitosis detection using temporal context. In: Proc MICCAI; 2005. p. 302-9.
4. Madany-Mamlouk A., Becker T, Rapoport D. A novel benchmark data set for adult stem cell tracking in time-lapse microscopy. In: Front Neur Conference Abstract: Neuroinformatics; 2009.
5. Kruse C, Kajahn J, Petschnik A.E., et al Adult pancreatic stem/progenitor cells spontaneously differentiate in vitro into multiple cell lineages and form teratoma-like structures. Ann Anat. 2006; 188: 503-17.