Huygens – Deconvolution

Deconvolution is a mathematical operation used in Image Restoration to recover an image that is degraded by a physical process which can be described by the opposite operation, a convolution. This is the case in image formation by optical systems as used in microscopy.

In microscopy image is degraded by blurring and noise. The blurring is largely due to diffraction limited imaging by the instrument, and the noise is usually photon noise. The degree of spreading (blurring) of a single pointlike (Sub Resolution) object is a measure for the quality of an optical system. The 3D blurry image of such a single point light source is usually called the Point Spread Function (PSF).

Room 021
Telephone 03 640 8737
Responsible scientists:
Miriam Shaharabany, Ph.D.
Yael Zilberstein, Ph.D.

Huygens Software intended for restoration, interactive analysis and volume visualization of 2D, 3D, multi-channel and time series images from fluorescence microscopes. The restoration is based on different deconvolution algorithms that permit the recovery of objects from images that are degraded by blurring and noise. Huygens software will significantly improve your microscopic images, Huygens Essential makes high quality deconvolution available for everyone, by combining the latest deconvolution algorithms with an easy graphical user interface. The software improves dramatically the resolution and contrast in your microscopic images while effectively removing haze and noise. In this way, structures and details which would otherwise remain hidden become clearly visible.