Nanolive are delighted to have been selected as winners of the 11th annual Microscopy Today Innovation Awards in 2020 for the development of our automated microscope, the CX-A, a non-invasive live cell imaging method for continuous organelle monitoring in cell populations and 96-well plates. The award is shared with 10 other top technologies that have high potential to advance microscopy in the areas of light microscopy, electron microscopy and microanalysis.
This is the second award Nanolive have won for the CX-A, which was also awarded The Scientist Top 10 Innovations in 2019.
We would like to extend our congratulations to Chief Technology Officer Dr. Sebastien Equis and acknowledge the important contributions of Dr. Alexandre E. Grandchamp, Julien Renggli and Philippe Paccaud throughout the development process. Thanks also go to the whole R&D team and their dedication and hard work to achieve this high quality product.
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Next upcoming event
Next product launch - 26.06.2023
17 new scientific publications featuring Nanolive technology
Since the start of the year, 17 more papers have been published using Nanolive imaging, featuring an incredibly broad range of cell types; stem cells, adipocytes, neurons, osteoblasts, neutrophils, melanocytes, e. coli, primary synoviocytes, and several cancer cell...
Nanolive imaging confirms success of mesoestetic’s new treatment at the subcellular level
We are happy to see that Nanolive imaging has been used to confirm the success of another new therapy, this time treating melasma. In their latest paper “Depigmenting topical therapy based on a synergistic combination of compounds targeting the key pathways involved...
Nanolive microscopes
3D CELL EXPLORER
Budget-friendly, easy-to-use, compact solution for high quality non-invasive 4D live cell imaging
3D CELL EXPLORER-fluo
Multimodal Complete Solution: combine high quality non-invasive 4D live cell imaging with fluorescence
CX-A
Automated live cell imaging: a unique walk-away solution for long-term live cell imaging of single cells and cell populations
