BENCH MANAGEMENT
> esBox - Power
Manage the bench, configure the experimentation, and acquire the data with on-the-fly processing
> esBox - Basic
Manage the bench, configure the experimentation, and acquire the data.
DATA PROCESSING
> Platform for data processing
Data processing with esDynamic: one single collaborative and open platform to empower teams of researchers. Turnkey solution for data processing infrastructure, suitable for intense and parallel computing (GPU).
OUR USE CASES
> High resolution microscopy
The bench is made of laser, microscope and precision camera for an efficient high resolution imaging.
> Cybersecurity laser testing
Combine a laser, an infra red camera, an oscilloscope, a XY stage for inject fault during a chip execution.
FOLLOW US
Twitter
Linkedin
Youtube
esDynamic: The integrated data-science platform
esDynamic Software: designed by researchers for researchers
The central datascience software for your research team:
- Integrates tool based on JupyterLab
- Integrates non-developers data-science tools (eg. ImageJ) and a powerful search engine
- Leverages Python openness & flexibility
- Uses powerful libraries to visualize & manipulate your datat out of it
- Use powerful libraries to visualize & manipulate your data
- Works as a turnkey solution: no installation, comes with regular updates
- No more time-consuming IT administration tasks to deal with
- Benefits from eShard reactive support
esDynamic:esBox controls your bench
Thanks to our esBox, you can connect to all your benches:
- Control most of scientific devices
- Live acquisition monitoring & parameters tuning
- Run preprocessing during data acquisition
- Generate your data right into standard & usable format
- Avoid fastidious data cleansing
- Exploit directly your results
- Setup data acquisition over several days
- Reproduce your experimentations with the same environment
- Avoid legacy issues
esDynamic: platform is your data science environment
- Scale up esDynamic to your whole research organization
- Handle easily terabytes of data to face everyday increasing volumes and needs
- Leverage datacenters, GPU, cloud computing, etc…
- Exploit AI & machine learning (by using the usual powerful & popular libraries: scikit-learn, Tensflow, XGBoost…)
- Get cloud computing capabilities without the costs and latency of cloud computing
more information about esDynamic platform
