In this webinar, you will learn:
- How to overcome issues with stage drift and crosstalk between channels
- How to obtain reliable images and reproducible quantification results
- How to proceed with advanced image analysis after restoring images
During fluorescence image acquisition, many experimental uncertainties are introduced that affect the correct object interpretation and analysis. The blurring and the noise implicit in the image formation are two of the largest sources of experimental trouble. Additional aberrations, such as stage drift, and crosstalk and chromatic aberration between channels, can also affect the imaging. Huygens image deconvolution and restoration is a proven method to revert these issues and recover a more realistic representation of the original object. After restoration of the image, you can proceed with the advanced Huygens analysis options for colocalization, object measurements, and tracking.
Vincent Schoonderwoert, PhDSenior Imaging/Application Specialist, SVI
Vincent Schoonderwoert is a senior imaging specialist at Scientific Volume Imaging, which is the company that develops the Huygens software. He received his PhD in cell biology at the University of Nijmegen (The Netherlands) and was a postdoc at Yale University and UMC Utrecht. From his masters onwards, his research involved the use of microscopes and imaging software. His current work focuses on supporting the use of Huygens, and providing courses in how to improve, deconvolve, restore, and analyse fluorescent microscopy images.