A novel open source tool for ELISA result analysis

Area of Science:

• Biotechnology
• Laboratory Informatics
• Analytical Chemistry

Background:

• Enzyme-Linked Immunosorbent Assay (ELISA) is a widely used analytical technique.
• Current ELISA result processing can be complex, involving proprietary software and external platforms.
• These methods may pose challenges for data integrity and documentation practices.

Purpose of the Study:

• To develop and present the ELISA Tool, an open-source software for comprehensive ELISA data analysis.
• To provide users with full control and validation of the ELISA calculation procedure.
• To establish a transparent and auditable system for laboratory data processing.

Main Methods:

• Development of a Python-based software application, ELISA Tool.
• Implementation of a user-friendly graphical user interface (GUI).
• Modular software architecture for flexibility and integration into other IT projects.

Main Results:

• The ELISA Tool successfully processed real-life ELISA samples.
• It enabled data import, calibration curve approximation using two algorithms, and model fit diagnostics.
• The software generated final reports while preserving the integrity of raw data files.

Conclusions:

• The ELISA Tool provides a transparent, open, and registered system for data processing control, independent of third-party software.
• Its modular and flexible design supports further development based on user needs.
• This approach ensures enhanced data integrity and good documentation practices in ELISA analysis.