Electronic Laboratory Notebook
Use YU-NOTE to register, find and share daily experiments with your colleagues.
Get rid of old-fashioned physical notebooks that needed to be securely stored and archived ! With Yu-Note, the precious knowledge of an organization is fully digital, is secured and always accessible.
Yu-Note is intuitive and easy. As former researchers, our goal is to provide our customers with the tools to easily share and store their experimentation history and keep on with their good laboratory notebook practices.
Researcher-friendly, to innovate with confidence
'Word'-like written interface
Create or paste tables
Link files related to your experiments
Choose participants and share experiments with your colleagues
Attach protocols (SOPs) that have been used
Link materials and equipment used
Status bar for immediate visualization of experiment status
Share experiment templates.
Easy to find experiments: table view and filters by experimenter, project, date, status etc
Yu-Note is designed for life sciences companies looking for a simple, intuitive and scalable solution. Simple and intuitive, to write experiment reports and share them with colleagues on a secure database. Scalable, to follow and support clients' needs and developments.
Centralized data to easily share and secure information
To secure your intellectual property, experiments can be signed with an electronic signature and timestamped.
Share experiments results with colleagues and control read and edit rights.
Provide comments / feedback on a colleague’s experiment
Trace actions thanks to an audit trail which records processes step by step.
Export and print at any time the PDF report of your experiments.
Ask for a demo
Download more information about YU-NOTE:
Yu-Note's power is enhanced when used with other modules developed by Yubsis:
Protein modules
Register protein sequence, track expression hosts and protein production. Perform antibody selection.
Molecular Biology
Register plasmid map, perform in silico cloning, track batches and Sanger sequencing analysis.