Next-Gen
Electronic Lab Notebook
Scalable, Integrated, and Collaborative—our Electronic Lab Notebook (ELN) adapts to your growing research needs.
Plan
Keep all your experimental details in one place, from initial hypotheses to detailed methodologies, ensuring nothing gets overlooked.
Plan DNA assemblies directly within your notebook, with built-in support for protocols like Golden Gate and Gibson Assembly.
Workflow Management Integration
Connect your experimental plans directly to TeselaGen’s workflow management and automation tools, streamlining processes from planning to execution without leaving your ELN.
Execute
The Notebook provides the tools you need to carry out your experiments efficiently and accurately. With features designed to minimize errors and streamline your workflow, you can focus on achieving reliable and repeatable results.
Real-Time Data Entry and Tracking
Capture data directly in the notebook entries as you perform experiments, and connect to TeselaGen’s dynamic, interactive tables.
Visualize and manage your samples and DNA sequences directly within the ELN, reducing the need for external tools and simplifying your workflow.
Protocol Execution Tracking
Track the execution of repetitive tasks and protocols within your experiments, ensuring precision and freeing up time for more critical work.
Collaborate
Effective collaboration is essential for successful research. TeselaGen’s Notebook fosters a collaborative environment where teams can easily share data, insights, and updates, ensuring that everyone is aligned and working towards common goals.
Easily share ELN entries, protocols, and experimental data across different teams and departments, ensuring that everyone has access to the latest information and can contribute effectively.
Maintain data integrity with robust version control, locking entries once finalized, and offering controlled access to team members based on their project and lab membership.
Facilitate collaboration by allowing team members to clone and reuse existing ELN entries, enabling them to build upon previous work without altering the original data.