
ActiveLN
Electronic laboratory notebook with experiment tracking, data management, and real-time business process automation for research organizations.
Overview
ActiveLN is a web-based, secure, modular, and expandable Electronic Laboratory Notebook (ELN) developed by ATGC Labs. Designed to be cost-efficient and suitable for all scientific and applied tasks, it is easy to install, use, and extend with new workflows. ActiveLN is built around how people actually work in practice, enabling organizations to design, implement, and run business rules and business processes that help them respond quickly when requirements and conditions change.
The platform supports the full spectrum of laboratory activity — from managing experiments that produce large amounts of data to enabling enterprise-wide collaboration and knowledge sharing. ActiveLN's business activity monitoring and automation modules identify meaningful events across projects, spot trends, analyze their impact, and take action in real time, providing researchers with vital, up-to-date information. A free, fully functional 60-day demo version is available for evaluation.
Core Functionality
- Document management, web content management, and record management using an open standard API to communicate with diverse document management systems and repositories
- Enterprise-wide instrument and software integration for easy access to projects, experiments, and laboratory procedures
- Intellectual property protection with secure preservation of notes, experiment results, images, and documents
- Selective data sharing — publish data to a group or collaborate with specific individuals by sharing only chosen data
- Business rules and process management to deliver operational efficiency and enable agile application development
Advanced Data Analytics and Machine Learning Algorithms
- Determines whether a new input matches a previously observed pattern
- Finds items that users might like based on collaborative filtering
- Reveals patterns or makes datasets easier to comprehend
- Discovers hierarchy and order in large or complex datasets
- Groups documents into topically related clusters
- Learns from categorized documents to assign unlabeled documents to the correct category
- Identifies which individual items typically appear together
Data Searching and Retrieval
- Ranked searching that returns the best results first
- Powerful query types including phrase, wildcard, proximity, and range queries
- Fielded searching by title, author, contents, and other fields
- Date-range searching
- Sorting by any field
Scientific Instrumentation and Third-Party Integration
- Integration logic and enterprise integration patterns
- Connectivity options including message service, file transfer, FTP, and web services
- Support for different data types and third-party applications
Compliance, Architecture, and Deployment
- Meets GLP and FDA guidelines including 21 CFR Part 11 requirements, tracking every data change and requiring appropriate authentication for all system activities
- Web-based client/server architecture enabling secure data access from anywhere with a one-time installation
- Multi-platform browser support for Windows, Mac, and Linux
- Operating-system and database agnostic
- Compatible with industry-standard databases including Microsoft SQL Server, Oracle, MySQL, and PostgreSQL
ActiveLN is trusted by a broad range of academic institutions, pharmaceutical companies, research hospitals, and biotechnology organizations worldwide, including GlaxoSmithKline, Thermo Fisher Scientific, Johns Hopkins University, Fred Hutchinson Cancer Research Center, Alnylam Pharmaceuticals, and many others. The platform is available as a hosted solution and is deployable on Windows environments.
