Case studies

Powering Microbial Analysis with Biolog’s Odin™ Platform

Overview

Biolog, Inc. is at the forefront of microbial identification and characterization technologies, providing critical tools for medical, environmental, and industrial microbiology. To support their innovative Odin™ platform—a sophisticated analyzer for metabolic characterization, growth kinetics, and microbial identification—Biolog required a robust software application. This application needed to deliver a seamless user interface and an efficient, secure data management system, all while integrating smoothly with the Odin hardware.

Challenges

Complex Data Processing: The Odin analyzer generates large volumes of data that need to be processed and managed efficiently, ensuring the accuracy of microbial identification and characterization.

 

User Experience: Given the complex nature of microbial analysis, the application needed to present data in a way that is both user-friendly and scientifically rigorous.

 

System Integration: The software had to integrate flawlessly with the Odin hardware, ensuring reliable and real-time performance.

Solution and Technological Approach

Strongbytes collaborated with Biolog to design and implement a custom application that met all of these requirements. The solution involved a carefully selected technology stack:

  1. Frontend Development (AngularJS): The user interface was built using Angular, chosen for its responsiveness and ability to create a dynamic, real-time data visualization experience. This ensured that users could interact seamlessly with the Odin system, accessing critical data and insights quickly and efficiently.
  2. Backend Development (.NET): The backend was developed using .NET, combined with Windows Services and IdentityServer. This provided a secure, scalable, and high-performance architecture capable of handling the complex data processing needs of the Odin analyzer. The integration with Odin hardware was key to ensuring reliable operation and consistent performance.
  3. Database Management (PostgreSQL): PostgreSQL was selected as the database management system due to its robustness and scalability. It handled the large datasets generated by the Odin analyzer efficiently, supporting advanced querying and maintaining data integrity—critical for precise microbial identification and characterization.

Outcome

The collaboration resulted in the successful deployment of a powerful software application that enhanced the functionality of Biolog’s Odin analyzer. The integration of Angular, .NET, and PostgreSQL delivered a seamless, efficient, and reliable system, fully meeting Biolog’s performance and usability requirements. This application has empowered users in various microbiological research and diagnostic settings, supporting advanced microbial analysis with enhanced accuracy and efficiency.

Business Impact

Enhanced Functionality: The software application significantly improved the Odin analyzer’s ability to process and visualize complex data, providing users with a powerful tool for microbial research and diagnostics.

Improved User Experience: The responsive and intuitive user interface made it easier for users to interact with the Odin system, increasing productivity and satisfaction.

Scalability and Reliability: The robust backend and database management ensured that the system could handle increasing data volumes while maintaining high performance, supporting Biolog’s growth and innovation in microbial technology.

Technologies Used

AngularJS/TypeScript, .NET / C#, PostgreSQL, Windows Services, IdentityServer, API development, AWS, GitHub, Octopus Deploy

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