Oliver Schlicker , Dr.
Oliver is a Senior Application Manager at Leica Microsystems. He received his PhD in Neuro-Cell-Biology from the University of Heidelberg, Germany. After heading the Imaging Facility at the IZI in Stuttgart, Germany he joined Leica Microsystems Wetzlar in 2008 as Application Manager, responsible for Advanced Fluorescence Widefield Microscopy.
How to Perform Dynamic Multicolor Time-Lapse Imaging
Live-cell imaging sheds light on diverse cellular events. As many of these events have fast dynamics, the microscope imaging system must be fast enough to record every detail. One major advantage of…
3D Tissue Imaging: From Fast Overview To High Resolution With One Click
3D Tissue imaging is a widespread discipline in the life sciences. Researchers use it to reveal detailed information of tissue composition and integrity, to make conclusions from experimental…
How To Perform Fast & Stable Multicolor Live-Cell Imaging
With the help of live-cell imaging researchers gain insights into dynamic processes of living cells up to whole organisms. This includes intracellular as well as intercellular activities. Protein or…
Studying Early Phase Development of Zebrafish Embryos
This video on demand focuses on combining widefield and confocal imaging to study the early-stage development of zebrafish embryos (Danio rerio), from oocyte to multicellular stage.
How To Get Multi Label Experiment Data With Full Spatiotemporal Correlation
This video on demand focuses on the special challenges of live cell experiments. Our hosts Lynne Turnbull and Oliver Schlicker use the example of studying the mitochondrial activity of live cells.…
The Power of Pairing Adaptive Deconvolution with Computational Clearing
Learn how deconvolution allows you to overcome losses in image resolution and contrast in widefield fluorescence microscopy due to the wave nature of light and the diffraction of light by optical…
An Introduction to Computational Clearing
Many software packages include background subtraction algorithms to enhance the contrast of features in the image by reducing background noise. The most common methods used to remove background noise…
