Deconvolution
Sep. 12, 2011
Media Cybernetics has released the AutoQuant version X3 image deconvolution and 5D visualization software.
Version X3 delivers new 2D and 3D deconvolution algorithms with improved quality and faster completion times. The software is available for all microscopic modalities.
moreJan. 31, 2011
Nikon Instruments has launched the next generation Confocal Laser Point Scanning Microscope for entry and mid-level confocal imaging.
moreJan. 25, 2011
Olympus released a Database Solution module for the cellSens Dimension software suite. The module will simplify user workflow management, making it easier to capture, process and securely store images along with a variety of searchable and customisable metadata.
moreDec. 23, 2010
AutoQuant Version X2.2.1 Image Deconvolution Software offers Windows 7 Support and improved file formats: Media Cybernetics announces the release of AutoQuant Version X2.2.1 image deconvolution and 5D visualization software which is now supported in Windows 7. In addition to Windows 7 support, AutoQuant X2.2.1 has improved file format handling to make working with original images easier than ever.
moreJul. 26, 2010
Part 1: Deconvolution is an image restoration technique which improves image contrast, resolution and signal to noise ratio. In modern optical microscopy and biological research deconvolution is becoming a fundamental processing step which allows for better image analysis. Deconvolution remains however a challenging task as the result depends strongly on the algorithm chosen, the parameters settings and the kinds of structures in the processed dataset.
moreNov. 01, 2008
During the last decade microscopy has gone through a series of major improvements. The demand of microscopy technique has increased a lot and has brought the limits in optical resolution of light microscopes, as described by Ernst Abbe, to be extended by new technologies like 4Pi, STED [3], deconvolution and others. Scientists want to resolve small compartments and structures within a cell and but at the same time need to visualize a large field of view to be able to understand the complexity of biological organisms.
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