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Super-resolution microscopy has become a powerful imaging tool for biology and material science. To obtain reliable and super resolution imaging results, it requires not only the knowledge of biology, but also the background in physics, chemistry, computer science, and engineering. Yet, it has been challenging for most scientists.
In collaboration with HKUST Super-Resolution Imaging Center, NanoBioImaging (NBI) has commercialized user-friendly Super-Resolution Imaging System, SRiS.
This video is captured in 2017 with SRiS 2.0
Key features
10 times greater than conventional optical microscopes
Time-efficient, minimizing photobleaching
Highly stable and efficient
Balanced photochemical properties for different channels
Time saving
ADVANTAGES
Your best solution, for your best imaging.
Stable and efficient hardware
NBI featured simultaneous multi-channel imaging delivers super resolution images of multiple targets at the same time, shortening the data acquisition time to 1/3 of other commercial products. What’s remarkable, it minimizes photobleaching which is severe in sequential super-resolution imaging of multiple channels.
NBI developed active locking system to correct the sample drifting in real-time during data acquisition. The samples can be “locked” with nanometer precisions and no post-acquisition correction is required. This not only guarantees reliable results without artifacts caused by software correction, but also saves users’ time waiting for system stabilization and thermal equilibrium after each sample loading.
User-friendly software
Rohdea provides improved user experience compared with competing imaging softwares. Rohdea structures super-resolution imaging workflow into four steps: 1. view preparing, 2. wide-field image acquisition, 3. super-resolution image testing, and 4. super-resolution image acquisition. With these standardized steps, the user is able to capture super-resolution imagings easily.
Powerful and intelligent analysis tools
Spruce is an image analysis tool developed by NBI. With spruce, the user can analyze the reconstructed super-resolution images to get customized analysis reports, including the distribution of cluster sizes / patterns, co-localization distribution, error distribution etc.
FAQ
