Tile scan image of Mouse brain tissue section with multicolor immunofluorescent labeling acquired with the DMi8 S system. Courtesy of Department of Biomedical Engineering, Southern University of Science and Technology, China
Mi8 S system – live cell imaging solution for advanced imaging
Introducing the new widefield DMi8 S system, an advanced live cell imaging solution that combines both hardware and software into a total system solution for advanced imaging. Whether you need to precisely follow the development of a single cell in a dish, screen through multiple assays, obtain single molecule resolution, or tease out behaviors of complex processes, a DMi8 S system will enable you to see more, see faster, and find the hidden.
Enhance your multiwell imaging and add powerful sample overview capabilities, maximize the speed of every motorized component in your entire system, find out how to activate, ablate, and bleach within one experiment, and achieve simultaneous multi-color TIRF images. The DMi8 S cutting edge live cell imaging solution is the next chapter in widefield imaging from Leica.
SP8 DIVE for full spectral and deep imaging
The new SP8 DIVE Deep Imaging System has been successfully launched to the scientific community at the FOM in Bordeaux where it raised an enormous attention and excitement among life science researchers.
SP8 DIVE is the world’s first spectrally tunable solution for multi-color, multiphoton deep tissue imaging. DIVE stands for Deep In Vivo Explorer and enables researchers to capture up to four fluorophores simultaneously and an unlimited number of fluorophores sequentially. It is based on our all-new 4Tune detector technology combined with state-of-the-art HyD imaging chain. Together these technologies offer full spectral freedom enabling breakthroughs in multicolor deep tissue imaging.
Multicolor image of a Confetti Mouse recorded with the new SP8 DIVE with the 4Tune spectral detector. The adaptation to the transgenic markers allows to achieve more contrast and depth for multi-color in vivo deep imaging. Sample courtesy of Jacco van Rheenen. University of Utrecht, NL