Simplicity is the art of keeping everything that can be controlled for a user, simple. Simplicity is the reverse of complexity.
Simplicity means having intuitive interfaces, not training certificates. It means pressing go rather than worrying you selected the correct options. It means getting the most out of technology by doing the least.
Simplicity means spending time on the right things, not wasting time because of poor product design.
Train in less than 15 minutes
15 minutes is not only the time to scan a plate using our Endeavor system, it's also the time a user should complete training on an intuitive product.
No longer do we need courses, note taking, manuals, experts. No longer should we worry when our expert is on vacation. This is not just easy to use, its more than that, this is designed for simplicity.
Set Up a Scan in
Less Than 2 Minutes
1. Open door
2. Add well
3. Close door
4. Select a well to check image quality
5. Alter exposure times
6. Select full scan or individual wells
7. Preview scan if you want to (90 seconds)
Control the controls
Adjust exposure time as needed
Full Well or Preview
Get a quick snapshot or scan for full data
Target Well Selection
Select the well you want to see
Pseudo or Greyscale
Find markers or just checking morphology
Part of the Araceli Biosciences design philosophy is to ensure only what is needed is included.
Unlike others we don't need to provide controls to trade between the classic compromises in high content. Speed, coverage and resolution.
When you scan every cell in every well at 0.27 microns per pixel in 15 minutes why would you need more controls?
With Endeavor you are in control with less controls to worry about.
Automate with Green Button Go
Automation through Robotics needs to be as simple and repeatable as possible, that's why we partnered with Biosero and utilize the simplicity of their Green Button Go software within our EndeavorGT solution.
Deep Learning - Analysis
Deep learning-based analysis makes segmentation of even the toughest samples without need for dozens of parameters to be set.
Trained analysis helps means segmentation is achieved irrespective of experimental variation and phenotype, reducing the need to alter or interrupt analysis between wells or plates.
Overall AI based analysis requires less set up and training than classical intensity based approaches whilst delivering better data to help you make better decisions.