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3D MLS Cell Nuclei Detection

Detection of cell nuclei in 3D confocal microscopy images
Image Analysis Goal
Perform 3D nuclear segmentation for the purpose of counting, feature
extraction and cell cycle classification. Use extracted surfaces for
isosurface visualization.
Biological Goal
Characterize phenotypes related to cell cycle, mitosis and nuclear
architecture in Drosophila embryogenesis
Samples and Preparation
- Live Drosophila embryos expressing histone-GFP
- fixed Drosophila embryos stained with chromatin specific antibodies
or DNA dyes (e.g. DAPI)
Image Acquisition
Laser scanning confocal microscopy (Zeiss 5 Live)
Inputs
3D time-lapse images of histone-GFP expressing live Drosophila
embryos.  
File format: ICS
Outputs
Coordinates, contours (surfaces) and features of detected ROI
Operating Systems
Windows x86, x64,
Programming Language
C++
Libraries
QT user interface SDK, Open computer vision library (OpenCV),
Visualization tool kit (VTK), library for open cytometry standard (libics
1.5)
Publication
Rambabu Chinta and Martin Wasser (2012). Three-Dimensional
Segmentation of Nuclei and Mitotic Chromosomes for the Study of
Cell Divisions in Live Drosophila Embryos. Cytometry A, 2012 Jan,
Funding
Bioinformatics Institute/A*STAR Singapore
External Links

Biological Discovery through
Quantitative Microscopy
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