Explore Beyond Limits: Unveiling New Frontiers in Science
NanoRes streamlines your path to Super-Resolution imaging.
AI-Automation
Rest at ease while AI hardware control optimize your system and corrects the aberration in the image
Multi Imaging Mode
One microscope covers spinning disk confocal, TIRF, HILO, and epi-fluorescense
Large Field of View (FOV)
Obtain 3D nanometer resolution with a large FOV
Products
NanoRes Imagina
The first AI-driven adaptive optics Super-Resolution microscope
With a 100x100 µm² field of view, lateral resolutions of 20 nm, axial resolutions of 30 nm, and a 150 µm imaging depth, the NanoRes Imagina unlocks the full potential of your research.
Specifications
llumination mode
Resolution
20 nm in XY;
30 nm in Z
Lasers
405 nm (Max 100 mw);
488 nm (Max 400 mw);
561 nm (Max 2000 mw);
647 nm (Max 2000 mw)
Field of view
100×100 μm²
Camera
Hamamatsu Orca Fire
Frame rate
115 frames/s
Imaging depth
150 μm
Objective
Standard Oil 60x NA=1.4
Magnification
100x
Collaborations
We collaborate globally with experts ranging from cell biologists to neuroscientists.
Explore Beyond Limits: Unveiling New Frontiers in Science
NanoRes LLC
Who we are
NanoRes LLC specializes in the advancement of biomedical technology tailored for super-resolution microscopy. We foster deep collaborations with cell biologists, neuroscientists, and chemists, aiming to unravel pivotal biological mysteries ranging from cytokinesis and epigenetics to neural circuits and cell motility.
Multiplane Single Molecule Localization Microscope
Through multilane-imaging, we can obtain up to three color channels simultaneously.
What we innovate
Deep-learning Driven Adaptive Optics
Our deep learning algorithm controls the adaptive optics module to dynamically compensate for optical aberrations.
In-situ Point Spread Function Retreival
Our localization algorithm utilizes the in-situ point spread function directly retrieved from raw images, allowing for the artifact free super-resolution reconstruction.
Patents
Highspeed acquisition with highspeed sensor
Imaging noise reduction system and method
Fang Huang, Sheng Liu
WO2018140900A1
Analyzing complex single molecule emission patterns with deep learning
Peiyi Zhang, Fang Huang, Sheng Liu
WO2020081125A1
Pinpointing single molecule positions with in situ point spread function retrieval for three dimensional nanoscopy of whole cells and tissues
Fan Xu, Fang Huang, Donghan Ma
WO2021026381A1