Science Lab
Science Lab
The knowledge portal of Leica Microsystems offers scientific research and teaching material on the subjects of microscopy. The content is designed to support beginners, experienced practitioners and scientists alike in their everyday work and experiments. Explore interactive tutorials and application notes, discover the basics of microscopy as well as high-end technologies – become part of the Science Lab community and share your expertise!
Multicolor Microscopy: The Importance of Multiplexing
The term multiplexing refers to the use of multiple fluorescent dyes to examine various elements within a sample. Multiplexing allows related components and processes to be observed in parallel,…
A New Method for Convenient and Efficient Multicolor Imaging
The technique combining hyperspectral unmixing and phasor analysis was developed to simplify the process of getting images from a sample labeled with multiple fluorophores. This aggregate method…
Considerations for Multiplex Live Cell Imaging
Simultaneous multicolor imaging for successful experiments: Live-cell imaging experiments are key to understand dynamic processes. They allow us to visually record cells in their living state, without…
Designing your Research Study with Multiplexed IF Imaging
Multiplexed tissue analysis is a powerful technique that allows comparisons of cell-type locations and cell-type interactions within a single fixed tissue sample. It is common for researchers to ask…
How to Successfully Perform Live-cell CLEM
The Leica Nano workflow provides a streamlined live-cell CLEM solution for getting insight bout structural changes of cellular components over time. Besides the technical handling described in the…
Be Confident in your Results with Cell DIVE Validated Antibodies
The Cell DIVE System includes a carefully curated list of hundreds of commercially available antibodies validated to offer optimal specificity and sensitivity in multiplexed imaging. That validation…
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…
