DANAMIC: Data analyzer of minimum inhibitory concentrations - Protocol to analyze antimicrobial susceptibility data

Area of Science:

• Microbiology
• Pharmacology
• Bioinformatics

Background:

• Antimicrobial susceptibility testing is crucial for guiding treatment decisions.
• Standardized methods like BS EN ISO 20776-1:2020 are essential for reliable results.
• Manual analysis of microdilution assays can be time-consuming and prone to error.

Purpose of the Study:

• To present an open-source software for analyzing antimicrobial susceptibility assay data.
• To automate the conversion of experimental data into minimum inhibitory concentrations (MICs).
• To facilitate high-throughput antimicrobial screening.

Main Methods:

• Described experimental procedures for in vitro antimicrobial activity testing based on BS EN ISO 20776-1:2020.
• Developed and detailed a software protocol for data analysis.
• Implemented automated data processing for microdilution assays.

Main Results:

• The software successfully analyzes experimental data from antimicrobial susceptibility assays.
• The protocol enables accurate conversion of raw data into MIC values.
• Automated analysis streamlines the process for microdilution assays.

Conclusions:

• The developed open-source software provides an efficient solution for analyzing antimicrobial susceptibility data.
• This tool supports standardized in vitro testing and automated MIC determination.
• The software is adaptable for high-throughput screening, advancing antimicrobial research.