| Initial release | December 2009; 11 years ago |
|---|---|
| Stable release | |
| Operating system | Any (Python based) |
| Type | Image processing & Computer vision & Machine Learning |
| License | LGPL license |
| Website | www.cellcognition-project.org |
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Visit the #1 online store for premium-quality microscopes and microscope parts. From student to industrial to stereo to compound, get the microscope you need at AmScope. Guaranteed low prices and free U.S. As compared to light microscope, the resolving power of electron microscope is. Scanning electron microscope. Welcome to the home page of Microscopy Image Browser. Microscopy Image Browser (MIB) is a high-performance Matlab-based software package for advanced image processing, segmentation and visualization of multi-dimensional (2D-4D) light and electron microscopy datasets. In order for cells to remain healthy, they must be able to efficiently move materials into and out of the cell across the cell membrane. The cell membrane makes up the surface area of the cell, while the volume is made up of everything within the cell membrane. If a cell becomes too big, the DNA in the nucleus can't keep up the demands of the cell.
CellCognition is a free open-source computational framework for quantitative analysis of high-throughput fluorescence microscopy (time-lapse) images in the field of bioimage informatics and systems microscopy. The CellCognition framework uses image processing, computer vision and machine learning techniques for single-cell tracking and classification of cell morphologies. This enables measurements of temporal progression of cell phases, modeling of cellular dynamics and generation of phenotype map.[1][2]
Features[edit]
Miscroscopes, Light, SEM, TEM and Cell Theory.
CellCognition uses a computational pipeline which includes image segmentation, object detection, feature extraction, statistical classification, tracking of individual cells over time, detection of class-transition motifs (e.g. cells entering mitosis), and HMM correction of classification errors on class labels.
The software is written in Python 2.7 and binaries are available for Windows and Mac OS X.
History[edit]
CellCognition (Version 1.0.1) was first released in December 2009 by scientists from the Gerlich Lab and the Buhmann group at the Swiss Federal Institute of Technology Zürich and the Ellenberg Lab at the European Molecular Biology Laboratory Heidelberg. The latest release is 1.6.1 and the software is developed and maintained by the Gerlich Lab at the Institute of Molecular Biotechnology.
Application[edit]
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CellCognition has been used in RNAi-based screening,[3] applied in basic cell cycle study,[4] and extended to unsupervised modeling.[5]
References[edit]
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- ^Held M, Schmitz MH, Fischer B, Walter T, Neumann B, Olma MH, Peter M, Ellenberg J, Gerlich DW (2010). 'CellCognition: time-resolved phenotype annotation in high-throughput live cell imaging'(PDF). Nature Methods. 7 (9): 747–54. doi:10.1038/nmeth.1486. hdl:1912/3869. PMID20693996.
- ^Schmitz MH, Held M, Janssens V, Hutchins JR, Hudecz O, Ivanova E, Goris J, Trinkle-Mulcahy L, Lamond AI, Poser I, Hyman AA, Mechtler K, Peters JM, Gerlich DW (2010). 'Live-cell imaging RNAi screen identifies PP2A-B55alpha and importin-beta1 as key mitotic exit regulators in human cells'. Nature Cell Biology. 12 (9): 886–93. doi:10.1038/ncb2092. PMC3839080. PMID20711181.
- ^Piwko W, Olma MH, Held M, Bianco JN, Pedrioli PG, Hofmann K, Pasero P, Gerlich DW, Peter M (2010). 'RNAi-based screening identifies the Mms22L-Nfkbil2 complex as a novel regulator of DNA replication in human cells'. EMBO Journal. 29 (24): 4210–22. doi:10.1038/emboj.2010.304. PMC3018799. PMID21113133.
- ^Wurzenberger C, Held M, Lampson MA, Poser I, Hyman AA, Gerlich DW (2012). 'Sds22 and Repo-Man stabilize chromosome segregation by counteracting Aurora B on anaphase kinetochores'. Journal of Cell Biology. 198 (2): 173–83. doi:10.1083/jcb.201112112. PMC3410419. PMID22801782.
- ^Zhong Q, Busetto AG, Fededa JP, Buhmann JM, Gerlich DW (2012). 'Unsupervised modeling of cell morphology dynamics for time-lapse microscopy'. Nature Methods. 9 (7): 711–13. doi:10.1038/nmeth.2046. PMID22635062.
External links[edit]
- CellCognition on GitHub
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