As by definition, image deconvolution is the reverse of a convolution process (or simplified “blurring”), which is how a microscopic object is distorted by the optical characteristics of the microscope. Deconvolution restores the object from microscopy images using the microscope point spread function (PSF), thereby increasing image quality, and improving contrast and resolution. As a result, images can be better prepared for presentation and publications, and are more easy to segment for manual as well as automated image analysis. Huygens deconvolution can be applied to all type of fluorescent microscopy images, regardless if they have been acquired on a standard confocal microscope, spinning disk microscope, widefield microscope or STED microscope.
There are Huygens options for fully automated deconvolution of images, and also there is the possibility to manually adjust expert settings for specific images. Image deconvolution is nowadays a straightforward process, but not necessarily free of obstacles. Artifacts arising from the image acquisition process need to be taken into account and can influence the outcome of any type of image processing including deconvolution. This webinar will give an overview about image acquisition pitfalls, how to minimize these and how to correct them with Huygens. Furthermore, the physical principle of deconvolution is explained as well as the effect of image restoration on visualization and analysis. Examples will be shown of how you can improve different types of microscopy images.
The workshop will focus on the image deconvolution and restoration software Huygens from SVI which is available on ALMF computers (virtual machines). After a tutorial of the Huygens software, participants will deconvolve and restore provided test data to practice the taught strategies for optimal image processing. There are Huygens options for fully automated deconvolution of images and the possibility to manually adjust expert settings for specific images. In the last part, the participants can continue working on test data, or deconvolve and restore their own images.
Aims of the course:
- Theoretical concept of deconvolution
- Overview of different implementations / deconvolution algorithms
- Guidelines for optimal image acquisition, and successful deconvolution and restoration of the acquired images
- Examples and guidelines to spot correct and optimal deconvolved images
- Workflow for Deconvolution in SVI Huygens
- Import of images
- Recognizing and correcting imaging artifacts
- Deconvolution procedure – incl. best practice examples
- Export of images
- Tips and Tricks
Free time-limited test license for using Huygens@Home are available.
9:30-10:30 Webinar by Vincent Schoonderwoert (Scientific Volume Imaging) and Marko Lampe (ALMF)
10:30 – 10:45 Break
10:45 – 12:00 Workshop (how to operate SVI Huygens to achieve optimal results) by Vincent Schoonderwoert (Scientific Volume Imaging) and Marko Lampe (ALMF)
Bookings are closed for this event.