We´ve been working with Cenibra´s "looking at cells" technologies for a while now and have found that generating publication-grade imaging data has become a lot faster, very efficient and the analyses definitely more precise. Specifically, with Celigo and CQ1 we see a winning combination of complementary tools for our work with 2D and 3D cell culture models on both cellular and subcellular level.
The Cenibra team wishes you happy holidays!
Please note that deliveries will only be limited between December 23rd and January 3rd.
We thank you for your understanding and wish you a peaceful holiday season.
ADVANCED IMAGE BASED CELL ANALYTICS MANUFACTURED BY TECHNOLOGY LEADERS FROM THE US, JAPAN, AND EUROPE.
Cells are wonderful creatures and today´s microscopy techniques provide enormous power, adding speed, precision, and information for various cytometric approaches.
Modern cell microscopy comes in a variety of dedicated forms from simple microscopes to highly sophisticated confocal imagers. The term “Cytometry” just means “measuring cells”, and that’s what all our tools do. Depending on your specific needs our imaging cytometry portfolio offers complementary solutions from simple cell counts through label free time lapse experiments to 3D organoids or deep learning analyses. For more general information on why we like imaging cytometry see here.
Products
Together with our suppliers and manufacturers we stand for solutions in cell biology, biomarker analyses and biophysics, for high level support and quality results.
Talk to an expert
Which of these tools fits best with your needs, where is overlap in functionality, and how do you make the best of your budget? Cell biology is sophisticated, and so can the choice of the right imaging device be quite complex. Call our experts to discuss your specific applications and needs!
Call: +49 5461 7089089
Mail: info@looking-at-cells.com
Why use imaging cytometry?
The imaging cytometry approach comes with some quite tangible benefits with the various systems for various purposes we offer. So why not try „looking at cells“ ...